Silent No More Coming Out About Lesbians and Cancer
Bibliographic record
Abstract
Des recherches qualitatives lues en public ont donnilieu a un forum a j n de digager les dzffirents niveaux des histoires recueillies auprks des participantes d i n e recherche. Cet article est le reflet des histoires de 26lesbiennes de /'Ontario qui ont iti interuiewies au sujet de leur cancer du sein, des traitements, des soins reps, du support social et de leur perception etsentimentau sujetde leur identiti, de leur corps, de leur sexualiti et de leurs amitiks.-In memory ofPauline Bradbrook, a found-ing leader, a courageous advocate, an inspiring colleague, a loving piend Developing effective dissemination strategies for commu-nity-based research studies is often a multi-step process wherein the project team decides: 1) who one wants to reach with the information collected; 2) how best to reach these "target " audiences; and 3) what one wants to convey.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".