Eurostar: les Britanniques vendent leur participation pour 804 millions D’Euros, un exemple pour la France? (Eurostar: The British Sell Their Participation to 804 Million Euros, an Example for France?)
Bibliographic record
Abstract
French Abstract: La Grande-Bretagne a vendu sa participation de 40 % dans l'entreprise ferroviaire Eurostar pour 804 millions d'euros a un consortium comprenant la Caisse de depot de placement du Quebec (CDQP) et le gerant d'actifs britannique Hermes. C’est une « ex-cellente operation pour les contribuables britanniques qui depasse nos attentes, a reagi le ministre britannique des Finances, George Osborne. La France devrait-elle egalement y penser?English Abstract: Britain has sold its 40% stake in the rail company Eurostar to EUR 804 million to a consortium including investment Depository Quebec (CDQP) and the manager of Hermes UK assets. This is an excellent operation for British taxpayers that exceeds our expectations, responded the British Finance Minister George Osborne. Should France also think about it?
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.107 | 0.021 |
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".