Bibliographic record
Abstract
L huteure repchit sur le prockdk de placer des jalons pour die. The grace with which we embrace life, in spite of explorer et documenter la vie des femmes noires. Elle utilise the pain, the sorrows, is always a measure ofwhat has l'essai et surtout le film comme outils pour documenter leur gone on before. (Walker 1) I was preoccupied with learning about and understanding the lives of the earlier generations-Black refugee women, Black Loyalist women and enslaved African women. histoire dans la diaspora au Canada. Tout au long de sa carrikre filmique ele a envisagk ks images pour crker un espace oh la uoixdesf.mmes d brigineafiicaineserdit entendue. Eke examine aussi ses rbles comme fille et comme m2re dans des histoires h multiplesfacettes. This article represents a moment in time wherein I re-flect on my journey to explore, think about, and docu-ment the lives and experiences of some African-descended' women in Canada. It begins by calling forth an essay entitled "Our Mothers Grand and Great: Black Women of Nova Scotia " that I wrote more than twenty years ago for the special Multicultural issue of Canadian Woman Studieslle cahiers de~femme. ~ A broad survey, it became a personal map, the contours and geography of which I continue to examine in text and in film. During this period I, a daughter, became a mother. This additional identity fueled my interest and desire to dig deeper into this work to search for meaning and understanding that I could pass on to my daughter. I walk through this period, stopping along the way to look at the markers-the signposts I have placed along my path, signposts that I hope will keep the path somewhat illuminated for those that may follow.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".