A Threat to Geoscience Education: Creationist Anti-Evolution Activity in Canada
Bibliographic record
Abstract
The rejection of biological and geological evolution is a pervasive problem in science education. Recent events in the United States have brought anti-evolution activity to the forefront in media coverage of science education, but Canadians are often unaware that such creationist, anti-evolution activity is present in Canada as well. In this article, various foreign and Canadian-based anti-evolution efforts that threaten biology and geoscience education are discussed. These creationist organizations and their activities may adversely influence Canadian science curricula and public understanding of evolution and science in general. SOMMAIRE Je rejet de l'idee d'evolution biologique et geologique est un probleme generalise auquel est confronte l'enseignement des sciences. Recemment, aux Etats-Unis, certains evenements ont porte l'activisme anti-evolution a l'avant-scene de la couverture mediatique de l'enseignement des sciences, mais ici au Canada, il est frequent que les Canadiens ne soient pas conscients qu'un tel mouvement creationniste et anti-evolution existe. Le present article decrit divers mouvements creationnistes et anti-evolution, d'origine etrangere et canadienne, qui menace l'enseignement de la biologie et des sciences de la Terre. Les efforts de ces organisations creationnistes peuvent avoir un effet prejudiciable sur le contenu des programmes d'enseignement des sciences et sur la comprehension du public de l'evolution et des sciences en general.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".