Earth Science Education 3. Evolution of the Calgary Science Network: An Unabashed Tale of Speciation, Extinction and Diversity
Bibliographic record
Abstract
Activities undertaken by the Calgary Science Network to promote the public awareness of science over more than a decade are described in an evolutionary paradigm. The Network is a charitable volunteer organization that has an impressive history of accomplishment. The many different projects and programs of the Network are described in an evolutionary framework that has two fundamental generic roots: one in the Science Hotline, the other in the now-defunct National Science and Technology Week. The strong multidisciplinary background of the organization is cited as a key to its success. Resume Les dix annees d'efforts deployes par le Reseau scientifique de Calgary sont presentes selon une vision evolutive. Les benevoles de cet organisme sans but lucratif ont a leur credit une suite de realisations fort impressionnantes. On trouvera cidessous une description de l'evolution des nombreux projets et programmes du Reseau basee sur ses deux piliers principaux, l'un etant la Science au telephone et l'autre, activite abandonnee depuis, la Semaine nationale de la science et de la technologie . On verra que c'est l'importante pluridisciplinarite de ses membres qui est la cause principale de ses succes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".