Transfert : les déterminants de la performance des exploitations agricoles familiales
Bibliographic record
Abstract
Le transfert des exploitations familiales est une étape cruciale du cycle de vie de la majorité des exploitations agricoles québécoises. Avec un taux élevé d’échec important de 40 à 50 % dans les cinq années suivant le transfert d’une PME, il est important de connaître les causes de ces échecs ainsi que les déterminants de la performance des exploitations survivantes après le cap des premières années. Cet article présente les déterminants financiers et technico-économiques de cette performance en s’appuyant sur trois périodes : le montage financier, l’année du transfert et l’évolution de la situation. Les résultats démontrent que ce sont les ratios technico-économiques de l’exploitation à l’année du transfert et durant la période post-transfert qui ont la plus grande influence sur la performance financière cinq années après.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".