Bibliographic record
Abstract
Amber, Bev, Chantel, Jazmyne, Faith, and Jorgina are six Indigenous women previously involved in street gangs or street lifestyles. In Indigenous Women and Street Gangs they collaborate with Robert Henry (Métis) to share an emancipatory expression of their lives through photovoice. Each author shares a narrative that begins with her earliest memory and continues to the present. This is followed by a selection of photographs the woman took to show how she has changed with her experiences. Readers can expect difficult life stories imbued with hope and humour. Throughout, these women show us the meaning of survivance; a process of survival, resistance, resurgence, and growth. “Don’t ever fucking feel sorry for me. Why do you feel sorry for me? First of all, you shouldn’t feel sorry for me; you should be happy for me because I am here. We’re fucking human beings. We have been through shit, made some bad choices and mistakes. But like I said, in the end, if I want the help, I will ask.” -Chantel “I don’t think there is any such thing as bad; it’s called healing, you know? It is starting to fix yourself inside your heart, you know? You just got to keep doing it, that’s all I got to say.” -Jazmyne
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".