Bibliographic record
Abstract
18 February — Kennedy to Dawson: […] It is rather satisfactory to win the applause of a League fan because the main trend of the article was rather favourable to the anti-collectivists — no coercion, no obligatory action etc. each nation must judge for itself. I am glad to see that Halifax said quite definitely in the H of Lords yesterday that it is not desirable to say precisely beforehand what we shall do in every case and that we shall be free to act as we think right in the circumstances — at the same time every country should know that what we do will certainly be in the general framework of Article XVI and the rest of the Covenant. But I hope Halifax does not suppose — as he seemed to imply — that Machiavelli is a back number on the Continent! He errs very greatly if he does! With things brewing up — more to come in Austria? I can and will finish off things here at our Legation in Prague. Being however somewhat short of funds I could not do much unless I came to an arrangement by which T.T. would at any rate pay for a return ticket for me.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.288 | 0.160 |
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".