Bibliographic record
Abstract
The Canadian Geological Foundation supports geoscience education, out-reach, promotion and public awareness in Canada through grants to organizations and individuals. Project proponents can apply to the Foundation for funding support. The Foundation’s members − prominent Canadian geo-scientists drawn from diverse backgrounds−review project proposals and allocate available resources annually to projects that meet the Foundation’s main objectives. CGF grants support a wide variety of projects, including geo-science books, teacher training, student activities and teaching aids, interpretative displays, conferences, and more. In addition to its general purpose endowments, the Foundation also receives and disburses money for specific purposes, including lecture tours, scholarships, and special projects. SOMMAIRE La Fondation geologique du Canada (FGC) soutien des activites d’education, de proximite, de promotion et de sensibilisation de la population canadienne aux geosciences en accordant des fonds a des personnes ou a des organismes. Les auteurs de projets peuvent soumettre leurs demandes de subvention directement a la Fondation. Les membres de la Fondation – des geoscientifiques canadiens eminents de divers secteurs des geosciences – etudient les merites respectifs des propositions recues et allouent annuellement les ressources financieres disponibles de la Fondation en fonction de ses grands objectifs. Les bourses de la FGC soutiennent une grande variete de projets, dont l’edition de livres, la formation d’enseignants, des activites etudiantes et l’elaboration d’outils d’aide a l’enseignement, de kiosques d’interpretation, la presentation de conferences, etc. Outre son fonds de dotation general, la Fondation recoit et distribue des argents a des fins particulieres, comme des tournees de conferences, des bourses d’etude, et des projets speciaux.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".