Using a Phenomenological and Fanon Analytic: A Methodological Framework and Method for Research with Impoverished Black Male Youth
Bibliographic record
Abstract
While there is a good amount of general literature on the experiences of Black men in Canada, there is a paucity of empirical data regarding the specific lived experiences of first- and second-generation, Canadian-born, impoverished Black young men (ages 15–29). Black male youth are often impoverished due to anti-Black racism and classism, which together further social and economic barriers. While many methods of data collection and analysis provide a useful snapshot of the experiences of young Black men, many traditional methods are unable to highlight the nuance that lies in complex intersections of identity for Black young men experiencing poverty and un(der)employment. This article demonstrates the success of practices rooted in phenomenology to understand and articulate the unique, heterogeneous lived experiences of first- and second-generation impoverished Black young men who utilize youth employment training programs in three Canadian cities. Further, this article demonstrates how using Frantz Fanon’s scholarly work and applied phenomenology can inform future research on Black and other underserved youth who face complex marginalization.
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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 | 0.047 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.018 | 0.025 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".