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
FQ Columnist Bilal Qureshi reflects on Deepa Mehta's film Earth at an important moment in Indian and global history. Writing from New Delhi, he had the opportunity to speak to Mehta in person about her life and work, and that discussion is woven into this column. Since making Earth almost twenty years ago, Deepa Mehta has seen her stature grow to include film festival premieres, an Oscar nomination, and a platform as one of the rare women auteurs on the international stage. She has lived in Canada since the 1970s, but her most celebrated films are not about immigrant displacement or hyphenated identity. Rather, she has always told Indian stories. From the groundbreaking story of a lesbian relationship between two housewives in suffocating arranged marriages (Fire, 1996) to the forced exile of widows in orthodox Hindu scripture (Water, 2005), she has confronted uncomfortable social realities in Indian society. Although she has been labeled an anti-national and had sets burned and cinemas attacked by the religious right for insulting traditional values, she has taken the challenges in stride and continued making films.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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