Bibliographic record
Abstract
On 11 October 2012, the Institute of Gender, Sexuality and Feminist Studies (IGSFS) of McGill University, Montreal, hosted an international research symposium to coincide with the first International Day of the Girl Child. The symposium, Girlhood Studies and the Politics of Place: New Paradigms of Research, exhibited HearSay, HereSay, HerSay, a photovoice project from the Girls’ Multimedia Club afterschool program for girls. Delivered by the Girls Action Foundation, this program, now in its third year, offers multimedia skill-building for girls as a tool for personal growth and social change. The fifth and sixth grade girls (aged between 10 and 13 years) in the HearSay, HereSay, HerSay project explored the theme of safety, doing so through their photos of the places and spaces they navigate every day around their school. Their photos and corresponding captions tell stories about friendship, loss, and aspiration that shed light on their day-to-day realities and experiences. The combination of image and text presented in this photo-essay chronicles the process involved in creating a space where this kind of media-enabled exploration for girls is possible.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".