Bibliographic record
Abstract
Une crise en puissance guette le Nouveau-Brunswick. Bien qu’elle soit de nature economique, elle pourrait rendre le Nouveau-Brunswick de plus en plus difficile a gouverner, a moins qu’on ne s’y attaque avec un sentiment d’urgence. Le Nouveau-Brunswick doit relever toute une serie de defis economiques : un deficit structurel, une population vieillissante, l’incertitude entourant les transferts federaux, une croissance anemique de l’economie, une economie mondiale extremement concurrentielle et une incapacite a attirer de nouveaux Canadiens. Cet article soutient que le Nouveau-Brunswick ne doit pas rater l’occasion qu’offre cette crise et qu’il doit envisager de faire des choses « qu’il ne pensait pas pouvoir faire auparavant ». Cet article affirme que la communaute universitaire de la province doit exercer un certain leadership afin de s’assurer que cette crise serve a quelque chose.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".