Precautionary measures: race and the politics of "sex education" in black women's lives
Bibliographic record
Abstract
Black mothers are largely thought to communicate information about sex and sexuality in cryptic and proverbial ways. This includes stern warnings to their daughters about personal ruin and compromised morality should they come into sexual contact with a man. Cautious messages such as, 'don't let a boy touch you' is the extent of sex education for many daughters. Explanations regarding our mothers' reluctance to present straightforward information about sex and sexuality include strict religious upbringing; embarrassment; lack of knowledge; or the belief that the school will teach us what we need to know. While these are valid explanations, I propose that cryptic messages are also connected to our mothers desire to socialize daughters into educated and independent women. Our mothers' mantra is: "keep your legs closed and your head in the books. Once you have a career the man and the children will follow!" This qualitative study with fourteen African Canadian mothers and daughters aims to determine how discourses about 'sex education' are produced and how they ought to be understood. It pursues these goals by examining the dynamics and complexities of the mother-daughter relationship using grounded theory and a Black feminist analysis. The data collected revealed that while mothers do talk to their daughters about sex, these conversations are largely shaped by the desire that their daughters should have more choices for a better quality life. This is particularly so for mothers who know the sting of gendered racism in the labour market. The research proposes a more complex look at Black mothers' role in socializing their daughters for success under oppressive social and economic conditions.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".