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Record W4224106336 · doi:10.22215/etd/2022-14874

Mapping the Experiences and Struggles of Un(der)employed Afro-Caribbean “Black” (ACB) Young Men in Toronto, Montreal and Ottawa.

2022· dissertation· en· W4224106336 on OpenAlexaffabout
Warren Clarke

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsMainstreamMasculinityRacismGender studiesRace (biology)SociologyWhite (mutation)Political science

Abstract

fetched live from OpenAlex

This dissertation investigates how first-and second-generation Afro-Caribbean Black (ACB) male youth utilize youth employment training programs (YETPs) in three Canadian cities.ACB male youth are often marginalized through their encounters with racial discrimination, their lack of social capital, and their lived experiences which are significantly different than those of white, middle class young men in mainstream Canada.My study found that these young people are consistently met with racism, sexism and classism from employers who partner with YETPs, who presume ACB male youth are 'not good for business.'The study also found that YETP counsellors unintentionally reinforce class, race, and gender-based exclusions for ACB young men, which lowers their likelihood of finding success in the job market.Young ACB men both recognize the social exclusions they experience in these settings, and also take responsibility, as neoliberal subjects, for their own so-called 'failures' to find meaningful paid employment.I suggest that this reinforcing constellation of experiences leaves young ACB men in marginalized positions that are strikingly similar to those that ACB men have been forced to inhabit historically in Canada -that is, low-paying and menial labour that ultimately degrades their humanity and sense of self.Theoretically, I utilize the work of Franz Fanon as a way to encapsulate how Canadian social norms -emerging from Canada's existence as a settler-colonial nation-state and its long history of racial discrimination -continue to affect the social development of young ACB men.I draw on phenomenology to understand the social experiences of ACB male youth and their use of employment training programs while considering the intersubjective ideologies from other people who work with these youth in YETPs.The study also uses an intersectional approach to appreciate the heterogeneity of Black male youth, which is particularly important when studying racialized groups who are often treated as homogeneous.This study considers the lived experiences of marginalized ACB young men and the perspectives of YETP counsellors, employers, and funders of YETPs.The research approach allows me to understand how better to support young ACB men and their socioeconomic development while challenging misconceptions about Black masculinity in Canada.I am humbled and grateful for the opportunity to have been able to interview all the participants for this doctoral study, especially the youth.To the young Black men who took part, I am humbled to have learned from you and I appreciate the opportunity to be able to use your insights to inform this study.Thank you for trusting me with your lived experiences.To Sylvain Dion and the Danielle Dion Bursary committee -Thank you for all the support and for encouraging me to strive for my academic goals.Sylvain, thank you for your encouragement to complete my doctorate.To my family -Aunt Marcia, thank you for being the mother I need.Your love and desire to see me succeed in academia are the biggest reasons I pushed through the many late nights.I love you, always.Dad, your wisdom and the knowledge you shared with me throughout the years radiated through my words in this dissertation.I love and appreciate you.Tanya, Obi, Mindy and Kevin, thank you for accepting me into your family

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.005
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.303
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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