Bibliographic record
Abstract
On identifie et caractérise, du point de vue de l'économie du développement agricole, les grandes phases de la croissance agricole au Québec, de 1760 à 1985. Une première phase de croissance extensive ouverte se déroule de 1760 à 1890. De 1890 à 1940, on observe une phase de croissance mixte ouverte et de 1940 à nos jours, une phase de croissance intensive ouverte. Dans l'augmentation séculaire de la productivité du travail, on ne remarque qu'une seule rupture, vers 1890. L'hypothèse d'une phase prémalthusienne par laquelle serait passée l'agriculture au cours du 19e siècle n'est que partiellement soutenue par les faits. Les facteurs de l'environnement économique, social, politique et culturel ayant joué un rôle dans le développement de l'agriculture au 19e siècle sont brièvement analysés.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; a candidate call from one teacher head, 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".