Bibliographic record
Abstract
St. Lawrence University: Street Art Graphics; Wall of Femmes is a collective of feminists living in Montreal. Our aims are many: To promote wider recognition and knowledge of women we admire and find inspirational. To assert the people's ownership of public space. To counter the bombardment by mainstream media of negative, unhealthy, unattainable, sexist and/or objectified images of women in our public space. To engage in the public discourse and contribute to the unique culture of our city in a meaningful way The women we select to highlight come from all over the world and from diverse situations. Some are well known, some obscure, some controversial. They represent many different ideas and approaches, but all took control of their own lives, never asked permission and strove to eliminate inequality wherever they found it. With the Wall of Femmes collective, we try to carve out a space for these women, in a public place that is too often controlled by mainstream media. We want to acknowledge the way these women have improved our lives through their courage and hard work, and we are always open to suggestions on which inspirational women to feature on the blog, or in the street.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.634 | 0.124 |
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".