Bibliographic record
Abstract
Near the end of his career as a military, political. and social historian, Des Morton reflects on his trade and his definition of history as ‘another word for experience.’ Like most people, we can have a cheerful or a gloomy view of the past. Both approaches deliver messages about how we can seize more happiness or avoid repeating mistakes. Neither approach is fool-proof. Arrivant au terme de sa carrière d’historien dans le domaine de l’histoire militaire, politique et sociale, Des Morton discute de son métier et de sa définition de l’histoire commeétant « un autre mot pour nommer l’expérience ». Nous pouvons, comme la plupart des gens, nous représenter le passé sur un mode joyeux ou déprimant. Les deux approches transmettent des messages sur la manière de nous approprier plus de bonheur ou d’éviter de répéter nos erreurs. Mais aucune d’entre elles n’est sans faille.
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 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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.090 | 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; both teacher heads agree on what is shown here.
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".