Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Foreword, by Louise Arbour Table of Cases Table of Treaties, Legislation, and Other Relevant Instruments Introduction Ch. 1 Understanding Gender Stereotyping Ch. 2 Naming Gender Stereotyping Ch. 3 State Obligations to Eliminate Gender Stereotyping Ch. 4 Gender Stereotyping as a Form of Discrimination Ch. 5 The Role of the Women's Committee in Eliminating Gender Stereotyping Ch. 6 Moving Forward with the Elimination of Gender Stereotyping Appendices A. The Convention on the Elimination of All Forms of Discrimination Against Women B. The Optional Protocol to the Convention on the Elimination of All Forms of Discrimination Against Women Notes Select Bibliography Annotated List of Websites Index Acknowledgments
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.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it