Bibliographic record
Abstract
On June 9, 1995, several stories surfaced in al-Ahram , Egypt’s leading newspaper. A conversation with Canadian Prime Minister Jean Chrétien, a scientific study on the feeling of love and its chemical connections to the brain, and a meeting in Cairo between Egyptian President Hosni Mubarak, US Secretary of State Warren Christopher, and Israeli Prime Minister Yitzhak Rabin to discuss the prospects for peace in the Middle East were among the day’s headlines. Buried at the very back of the periodical, obituaries filled an entire page. If readers managed to reach this point in the issue, the black-and-white photographs of four compatriots likely would have caught their eye, including one image of a man wearing a cap and sunglasses. Opening with a verse of poetry, this entry’s authors, the Egyptian National Forces (al-Quwwa al-Wataniyya al-Misriyya), announced the passing of Shaykh Imam ʿIsa, “the artist of the people” ( fanān al-shaʿb ). 1
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".