Growing up with black hair in the GTA: three women share their stories
Bibliographic record
Abstract
The literature demonstrates that Black hair affects the identity of Black women. However, there is little research on how Black hair affects the identity of Canadian Black girls. For the purpose of this study, Black hair will refer to coiled textured hair, often referred to as “kinky”. The goal of the present study was to understand the effects of Black hair on the identity of Black girls between the ages of 5 and 12. Three Black women between the ages of 20 and 35 were asked to recall their experiences growing up in Canada with Black hair. Following a Black feminist approach, data was collected through story telling in an open-ended interview and four themes were identified : caring for Black hair, hair altering, the future of Black hair, and influences on Black hair styling. The women in the study have a hopeful vision for the future of Black hair. Keywords: Black hair, identity, Canadian context, childhood
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.046 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| 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".