Looking for Work: How Second Generation Caribbean Black Male Youth Make Sense of Social Mobility, Social Networks and Employment Opportunities in Toronto
Bibliographic record
Abstract
ABSTRACT This dissertation project examines the ways in which working class Caribbean Black Males Youth (CBMY) that are in precariously employed seek to get full- time employment. These CBMY are subjected to being unprepared to access employment for two main reasons, either they fall into the 50% drop out rate (Allahar, 2010; Dei, 2008; Gordon Zinga, 2012; James, 2011) or these men fall into the 52 % of precariously employed in the Greater Toronto Area (Lewchuck et al., 2014; Block Galabuzi, 2011). Post high school transitions into the job market for these Black Males are expressed through their viewpoints. My research is theoretically grounded in Critical Race Theory in acknowledging that racism is embedded in Canadian life moving to capsulize the various complex ways CBMY navigate the demands of the market place in the city of Toronto. The aim is to conceptualize the meaning making process through key elements (i.e., schooling experiences, family experiences, peers conversations) shaped by their choices on deciding on particular kinds of employment. I argue that dominant social ideals of manhood are influenced by privileged, white, male middle-class standards. I therefore interrogate how CBMY make sense of themselves, either within or outside of these conventional standards of manhood and masculinity as it relates to precarious work. Based on these larger research arguments, I critically examine how CBMY address social issues of mobility, social networks and employment opportunities from their own perspectives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".