Phénologie, effort de reproduction et variabilité climatique : une étude à long terme de Dryas integrifolia dans l'Arctique canadien
Bibliographic record
Abstract
REMERCIEMENTSJe dsire tout d'abord remercier ma directrice de recherche, Esther Lvesque, pour son support constant et sa patience tout au long du projet.Elle a su bien souvent me ramener l'essentiel et s'est montre trs comprhensive et disponible.Je suis galement reconnaissante envers Guy Samson et Gilles Houle, membres du comit d'valuation, qui ont dmontr de l'intrt pour mon projet et m'ont apport des commentaires constructifs.Les travaux de terrain durant l't 2005 ont t grandement facilits par Sue McIssac qui nous a gentiment accueillis et logs durant notre sjour Baker Lake, Orin Durey qui nous a orients sur le terrain et fourni maintes informations techniques, Sarah Silou qui nous a rendu plusieurs services (traduction de l'anglais vers l'inuktitut, etc.) et la communaut de Baker Lake en gnral pour leur accueil chaleureux, leur ouverture d'esprit et leur franche camaraderie.J'admire le travail minutieux de Dr. Josef Svoboda qui a initi le projet aux deux sites et qui a poursuivi durant plusieurs annes la prise de donnes trs dtailles au site de Baker Lake.Merci toutes les personnes qui ont collabor la rcolte de donnes
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 0.000 |
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".