Des parcs pour tous et tous pour les parcs Parks for all and all for parks - Canadian conference on parks
Bibliographic record
Abstract
La Conférence canadienne sur les parcs 2019 réunira des professionnels des parcs et des aires protégées, notamment des chercheurs, des décideurs, des universitaires, des étudiants et des praticiens issus de bon nombre de disciplines, milieux et secteurs. Ceux-ci discuteront ensemble des dernières recherches, des pratiques exemplaires et des politiques innovantes liées au renforcement des relations avec le milieu des parcs et des aires protégées du Canada et à la mise en valeur des mesures prises pour assurer sa progression. La vision commune ainsi explorée en fonction de divers points de vue (professionnels, régionaux et culturels) comprend notamment la présence de liens entre les territoires terrestres et les eaux des parcs et des aires protégées du Canada afin de favoriser une Nature1 et des populations en santé pour les générations à venir.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.340 | 0.097 |
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".