Countering Stereotypes and Enabling Resilience: Ethiopian Male Perspective on their Educational Experiences in Canada.
Bibliographic record
Abstract
This article examines how stereotypes of Black males and Black masculinity operate in the construction of the Black male of African descent in the Canadian educational context. Specifically, the study discussed here examined how this archetypal frame informed the lived experience of second-generation Ethiopian males in relation to race, academic performance, ambition to achieve their desired goals, and integration into Canadian society. From qualitative interviews conducted with 11 second-generation Ethiopian males, the study found that stereotypes of African cultural identity and its cumulative effects in their developmental years, along with culturally specific protective factors by way of family, nurturing relationships, and robust social support systems equipped them with the ability to nurture their potential and build on their abilities and skills, to enable them to realize their ambitions. The findings have implications for how social workers/counsellors in educational or clinical contexts can better advocate for a more expansive curriculum and support Black male students of African descent in their pursuit of educational success to enable a healthier pathway to integration.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 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".