Mentoring, Ability, Passion, and Pay, (MAPP), A strategy of a reduction of unemployment among inner-city youths

Rukia Y Malipula

Mentoring, Ability, Passion, and Pay, (MAPP), A strategy of a reduction of unemployment among inner-city youths

Rukia Y. Malipula

WALDEN UNIVERSITY

Abstract

This article examines a new strategy of redefining mentoring with a purpose. The author of this article introduces MAPP (Mentoring, Ability, Passion, and Pay). The author wishes to examine the significance of older mentors in career planning and selection of inner-city youths who ordinarily do not have career mentors to look up to. The author introduces MAPP as a strategy to assist mentors in guiding the inner-city youths by utilizing Mentoring in identifying the mentee’s Ability and Passion to create a Well-Paying career. The author posits that when a mentor identifies the ability and the passion of the mentee, this provides a path to career planning which leads to career selection of a better career for the inner-city youth.

Problem Statement

The problem is unemployment rates among inner-city youths of Washington, DC especially blacks remains disproportionately higher in comparison to other populations. “Today’s ghetto neighborhoods are populated almost exclusively by the most disadvantaged segments of the urban black community, that heterogeneous grouping of families and individuals who are outside the mainstream of the American occupational system.” (Wilson, 2012, p.7-8).  The higher unemployment rates of inner-city youths continue to be a major challenge in the Human Resources Management field. “African-Americans continue to suffer from lower rates of employment relative to Whites, but there is tremendous disagreement over the source of these disparities.” (Pager, 2003, p. 987). Many policies have been put in place by the different administrations at both the local level and federal level, but the problem continues to be persistent. “Among men, employment and labor force participation among blacks consistently lag behind those of whites and even Hispanics.”( Holzer, &Offner, 2006, p,13). The underlying problem is bigger than the inability to finding jobs. Most inner city youths find it difficult to find well-paying jobs that support their families due to poor career planning and selection, as a result of lack of role models. “The tight labor market appears to have put the 18-19 years old, disadvantaged black males in the sample up to even footing with the national average for black males of the similar age. In contrast, the 20-24 years old black males are much more likely to be unemployed and idle than the national sample.” (Case & Katz, 1991, p.11). This study will investigate the gap in the research on the role of formalized mentoring in career planning and selection beginning as early as in elementary schools. In their study, Case & Katz (1991) recommended mentoring as one of the solutions; “Affluent adult neighbors may act as positive role models indicating that success follows from hard work and may help maintain neighborhood order. Second, neighborhoods provide youths with close proximity to others in their age group. Interaction with peers who exhibit certain behaviors may influence youths directly.” (p.13). There is a plenty of evidence in the literature that shows that mentoring plays a significant role in the outcomes of the inner-city youths. Social Learning Theory is one of the common theories that can be used to address the application of the mentoring as a solution to improve the employability of the inner-city youths

The significance of the study

A common theme in Human Resources Management field is employment rate being an indicator of the state of the economy. The lower unemployment rate below 5% indicates the healthy state of the economy and the higher unemployment rates over 10% indicate the state of the poor economy. The economy of United States has enjoyed many periods of the strong economy for many generations except for few recessions here and there. However, the economy of United States represents a tale of two economies. The inner-city youths remain behind in enjoying the benefits of the good economy even in the times of the economics’ boom.

The significance of this study is the opportunity for mentoring in reducing unemployment rates among inner-city youths by offering guidance on career planning and career selection for inner-city youths. Reducing unemployment rates among inner-city youths of Washington, DC will result in the reduction of ailments that are associated with unemployment such as crime and drugs activity. There is an abundance of literature on higher unemployment rates, higher school dropouts, higher teen pregnancy, higher rates of incarcerations and crime rates among inner-city youths. Several federal policies such as affirmative action are intended to address higher unemployment rates among inner-city youths. Nevertheless, there is a gap in research that address the role of mentoring on career planning and selection for inner-city youths to secure better-paying jobs that may contribute to lowering unemployment among inner-city youths.

This study is significant to positive change because it investigates the solutions to reducing unemployment rates for inner-city youths. Many prior studies have shown that lowering unemployment rates among inner-city youths have a positive correlation with a reduction in poverty and crime. Therefore, this study surrounds itself entirely in positive change. A real positive change in Human Resources Management field will only happen if all the citizens have equal employment opportunities despite the color of their skins or which neighborhood they live.

Background information

The past 40 years has seen a major decline in the employment for inner-city youths.  Many factors have been attributed to this decline, such as decrease in the factory jobs and increase in technological skills required to perform even simple tasks. For the sake of this study, I will define inner-city youths as youths between the ages of 16-24 who live in the concentrated areas of higher poverty and sometimes higher crimes rates of the large metropolitan cities of United States such as Washington, DC. The majority of these residents are blacks, although a smaller percentage of Whites and Hispanics may populate these neighborhoods. This study will refer inner-city youths as Black Americans living in the ghettos of Washington, DC. The other term that is coined around the inner-city youths is “disconnected youths” as youths who are not enrolled in school or employed anywhere.

The following table displays the disparity of unemployment rates between Whites, Blacks, Latinos, Asians and others. Despite the fact that the economy has shown a great improvement in the past four years, the unemployment rates among blacks remains disproportionally very high in comparison to Whites and Asians. The Blacks’ unemployment rate has improved since the economic recession of 2008. The table shows the employment status of the civilian non-institutional population of the ages 16 to 24 years from 2012 to 2015. The tables show the unemployment rates from year 2012, 2013, 2014, and 2015 respectively  as follows; Blacks: 28.6, 28.6, 24.8 and 20.7; Asians: 14.4, 15.0, 10.9, and 10.7: Whites: 14.9; 13.9, 12.2 and 10.3. Although the table represents the unemployment rates of the United States, it is a true representative of unemployment rates of Blacks in Washington, DC. The unemployment rates of Blacks are twice as much that of Whites and Asians.

Table 1. Employment status of the civilian noninstitutional population 16 to 24 years of age by sex, race, and Hispanic or Latino ethnicity, July 2012-2015

Table 2. Employment status of the civilian noninstitutional population 16 to 24 years of age by sex, race, and Hispanic or Latino ethnicity, July 2012-2015

[Numbers in thousands. Data are not seasonally adjusted.]

Employment status, sex, race, and
Hispanic or Latino ethnicity

July
2012

July
2013

July
2014

July
2015

TOTAL

 

Civilian noninstitutional population

38,799

38,861

38,735

38,589

Civilian labor force

23,472

23,506

23,437

23,162

Participation rate

60.5

60.5

60.5

60.0

Employed

19,461

19,684

20,085

20,333

Employment-population ratio

50.2

50.7

51.9

52.7

Unemployed

4,011

3,821

3,353

2,829

Looking for full-time work

3,074

2,819

2,460

2,134

Looking for part-time work

937

1,002

893

695

Unemployment rate

17.1

16.3

14.3

12.2

Not in labor force

15,327

15,355

15,298

15,426

 

Men

 

Civilian noninstitutional population

19,554

19,587

19,527

19,442

Civilian labor force

12,355

12,283

12,335

12,011

Participation rate

63.2

62.7

63.2

61.8

Employed

10,140

10,127

10,470

10,488

Employment-population ratio

51.9

51.7

53.6

53.9

Unemployed

2,215

2,156

1,865

1,523

Looking for full-time work

1,785

1,665

1,437

1,195

Looking for part-time work

430

491

428

328

Unemployment rate

17.9

17.6

15.1

12.7

Not in labor force

7,199

7,303

7,191

7,431

 

Women

 

Civilian noninstitutional population

19,245

19,274

19,208

19,147

Civilian labor force

11,117

11,223

11,102

11,151

Participation rate

57.8

58.2

57.8

58.2

Employed

9,321

9,557

9,614

9,846

Employment-population ratio

48.4

49.6

50.1

51.4

Unemployed

1,796

1,665

1,488

1,306

Looking for full-time work

1,289

1,154

1,023

939

Looking for part-time work

507

511

465

367

Unemployment rate

16.2

14.8

13.4

11.7

Not in labor force

8,128

8,052

8,106

7,996

 

White

 

Civilian noninstitutional population

28,956

28,866

28,718

28,488

Civilian labor force

18,213

18,205

18,137

17,735

Participation rate

62.9

63.1

63.2

62.3

Employed

15,498

15,679

15,917

15,903

Employment-population ratio

53.5

54.3

55.4

55.8

Unemployed

2,715

2,525

2,220

1,832

Looking for full-time work

2,019

1,814

1,612

1,308

Looking for part-time work

696

711

607

524

Unemployment rate

14.9

13.9

12.2

10.3

Not in labor force

10,743

10,661

10,581

10,754

 

Black or African American

 

Civilian noninstitutional population

5,971

5,997

5,973

5,916

Civilian labor force

3,256

3,225

3,160

3,337

Participation rate

54.5

53.8

52.9

56.4

Employed

2,323

2,315

2,376

2,645

Employment-population ratio

38.9

38.6

39.8

44.7

Unemployed

933

910

784

691

Looking for full-time work

783

771

591

604

Looking for part-time work

150

139

192

87

Unemployment rate

28.6

28.2

24.8

20.7

Not in labor force

2,715

2,772

2,813

2,580

 

Asian

 

Civilian noninstitutional population

1,922

2,028

2,044

2,148

Civilian labor force

839

934

936

957

Participation rate

43.7

46.1

45.8

44.6

Employed

718

794

834

855

Employment-population ratio

37.4

39.2

40.8

39.8

Unemployed

121

140

102

102

Looking for full-time work

83

81

70

68

Looking for part-time work

38

59

32

34

Unemployment rate

14.4

15.0

10.9

10.7

Not in labor force

1,083

1,094

1,109

1,191

 

Hispanic or Latino ethnicity

 

Civilian noninstitutional population

8,164

8,229

8,313

8,406

Civilian labor force

4,658

4,756

4,675

4,728

Participation rate

57.1

57.8

56.2

56.2

Employed

3,799

3,897

3,903

4,127

Employment-population ratio

46.5

47.4

47.0

49.1

Unemployed

860

859

772

601

Looking for full-time work

698

622

560

458

Looking for part-time work

162

238

212

143

Unemployment rate

18.5

18.1

16.5

12.7

Not in labor force

3,506

3,473

3,637

3,679

NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.

Source: www.bls.gov.

This study examines a solution that can address the issue of higher unemployment rates among the inner-city youths. The research introduces MAPP as a strategy that can address the unemployment and underemployment rates of inner-city youths at an individual level.

MAPP

There are several studies that have shown that mentoring has been proven to improve the outcomes of inner-city youths. For example, increase high school graduation rates, the decrease in teen pregnancy, decrease in gang participation, and increase in college enrollment. There is no question that mentoring works. Rhodes (1994) suggested, “Given their apparent benefits, efforts have been made to replicate these natural helping relationships through volunteer mentoring programs for at-risk youth. Hundreds of mentoring programs essentially modeled after Big Brothers Big Sisters prototype, have emerged in the past few years.” (p.188). However, there is a very limited research on utilizing mentoring for career planning and selection for inner-city youths. This study introduces MAPP as a strategy to address higher unemployment rates among inner-city youths by utilizing mentoring to prepare for career planning and selection. MAPP is defined as Mentoring, Ability, Pay, and Passion.

As a Program Coordinator of a mentoring organization in Washington, DC, I work directly with the inner-city youths. Part of my job is to identify, recruit, and match the compatible mentees and mentors. The mentors do an outstanding job in guiding the mentees in their lives. I have seen the lives of the children change from getting all F’s to becoming an honor roll student within a year or a couple of months. My favorite story is John (not real name) at the age of 13; he had joined the gang, and using drugs, and was carrying a gun.  John is the oldest child of five from a different relationship. Mom lives in a tiny two-bedroom apartment with a boyfriend and five younger kids. John felt out of place; John did not feel the love from mom.  Mom did not have a one to one attention with him.  He felt mom’s boyfriend did not like him. So he found attention somewhere else in a gang. To make the matters worse John is very introverted, he is unable to express his frustrations.  John’s mother is not a type to win a mother of the year award. For the most of the day, she does not know where John is. Nevertheless, she realized John needs additional support from the mentoring organization. Along came Mr. Jones (not real name), a retired 73 years old affluent White man from the wealthy suburb of Chevy Chase in Washington, DC. In the beginning, John did not want to go out with Mr. Jones. A year later little John shared with Mr. Jones that the reason he did not want to go out with him at the beginning of the mentoring relationship because he was in a gang, and he had a gun. Mr. Jones is very faithful, he spends every Saturday morning with him, and sometimes he goes to John’s school to work with his teachers about his studies. A year later John is an honor roll student; he does not use drugs, not in the gang. He recently asked Mr. Jones; would you drive me to college? When I turn 18 will you still be my big brother? In answering the two questions yes, if Mr. Jones is still able he can drive John to college, and he will still be his big unofficial big brother. Here is the problem MAPP is trying to address, according to the organization’s policies. The mentoring relationship must come to an end when the child graduates from high school or when they reach the age of 18, whichever comes first. A lot of time the mentees have not fully transitioned to the work place or college and, therefore, are left in a limbo. Some mentors continue the relationship without the agency’s supervision, but most mentors continue to do other things, and some mentors will take on new children.  MAPP strategy can be used to fill the gap by providing the smooth transitioning to adulthood. In traditional mentoring, mentors guide younger people. According to Rhodes (1994), “The term mentoring has generally been used to describe a relationship between an older, more experienced mentor and an unrelated, younger protégée. The mentor typically provides ongoing guidance, instruction, and encouragement.” (P.188).There is no argument that mentoring has many benefits with positive outcomes on the mentees.  MAPP will go one step further by providing a focused mentoring that is focused on preparing the young mentees in entering the workforce.

MAPP is the process of mentoring with a focus in career development and selection by utilizing Mentoring to identify the Ability and the Passion of the Mentee to plan for a Paying career. This is how MAPP process will work. In addition to their roles as traditional mentors in guiding the mentee in a right path, the mentors will be trained to work with the mentees at a very early age in identifying their abilities and passions in life. After identifying the abilities and passion, the mentors explore different careers that will fit in the abilities and the passion of the mentees. Then, together the mentor and mentee select at least three possible career paths that will result into a career. After identifying these careers the mentor’s responsibility is to participate in weekly activities that will culminate to the chosen career paths at the end of the match.  MAPP will be an essential link for inner-city youths because there are not enough resources in the inner-city neighborhoods that can facilitate the youth’s transition to the workforce.

Rankin & Quane (2000) suggested,

Several forms of social capital defined as social network resources that support individuals in their efforts to realize their goals, are thought to be lacking in high poverty socially disorganized neighborhoods. First, weakly organized neighborhoods often suffer from a defeat of effective community norms. Such that residents are exposed to cultural socialization and role modelling that reinforces non-normative attitudes and behavior. In this climate, not only are youth and adults alike less likely to internalize conventional attitudes towards education, steady employment, and family stability. ( p.142 ).

In conclusion, this study finds that the issues of unemployment and underemployment of inner-city youths cannot easily be solved by federal or local policies. The changes must be started at an individual level. It is difficult to remove the inner-city youths from the neighborhoods they grew up. Unfortunately, most of these neighborhoods do not provide the environment that facilitates better career planning and selection for the inner-city youths. Therefore, MAPP strategy can be one of the long-term solutions as the career planning and selections start at a very young age before the effects of neighborhood are fully embedded in inner-city youths.

References

Case, A. C., & Katz, L. F. (1991). The company you keep: The effects of family and neighborhood      on disadvantaged youths

Holzer, H. J., &Offner, P. (2006).Trends in the employment outcomes of young black men, 1979–2000. Black males left behind, 11-38.

Pager, D. (2003).The Mark of a Criminal Record1.American journal of sociology, 108(5), 937-975.

Rankin, B. H., &Quane, J. M. (2000).Neighborhood poverty and the social isolation of inner-city African American families. Social Forces, 79(1), 139-164.

Rhodes, J. E. (1994). Older and wiser: Mentoring relationships in childhood and adolescence. Journal of primary prevention, 14(3), 187-196.

Wilson, W. J. (2012). The truly disadvantaged: The inner city, the underclass, and public policy. University of Chicago Press.