MétaCan
Menu
Back to cohort
Record W3097439600 · doi:10.4324/9781315103754-11

Missed opportunity

2019· book-chapter· en· W3097439600 on OpenAlexaboutno aff
Andrew Webster

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicScience, Research, and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The reshuffle provided the opportunity for the removal of the marginalised Aristide Briand, with Pierre Laval taking the foreign ministry himself and Tardieu replacing Maginot at the war ministry. Laval took the opportunity to try to widen his coalition by offering a number of cabinet posts to the Radicals, including that of foreign minister to Edouard Herriot; the offer was refused, though Herriot did announce that he would support Laval on important questions of foreign policy. The French in particular were unhappy with what seemed to them both to be a salvo in the naval disarmament talks and a threat to their spending on frontier fortifications. The General Convention was signed by twenty-two states by the time the World Disarmament Conference opened in February 1932, including Germany and France, though only minor states ever actually ratified it. Amidst the building crescendo of public demands for disarmament, the looming deadline of 2 February 1932 was viewed in many cabinet rooms with trepidation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.595
Threshold uncertainty score0.848

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0100.009
Open science0.0020.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.4050.211

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.

Opus teacher head0.164
GPT teacher head0.357
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicScience, Research, and MedicineFrench-language works237,207