Notice bibliographique
Résumé
Most biologists argue that intelligent design (ID) theory, which has recently been judged a pretext for advancing religious belief (see www.pamd.uscourts.gov/kitzmiller/kitzmiller_342.pdf), has no place in the classroom. Yet Steven D. Verhey proposes in “The Effect of Engaging Prior Learning on Student Attitudes toward Creationism and Evolution” (BioScience 55: 996–1003) that allowing ID to be critically discussed in the college classroom may facilitate appreciation of evolution. Verhey tested this proposal by contrasting sections of introductory biology that included or did not include creationist information. He reports that adding creationist materials to the curriculum did enhance attitude change. In an accompanying editorial, “How Can We Help Students Really Understand Evolution?”(BioScience 55: 923), Craig E. Nelson lauds these results as “powerful ev-idence”that introducing ID into the classroom led to “extensive change toward more scientifically viable views.” I applaud Verhey's attempt to provide empirical evidence in support of this novel approach. Unfortunately, his study does not provide a sound basis for Nelson's enthusiastic endorsement. The design of the study is flawed, as the two groups differed not only in whether ID materials were provided, but also in which text chapters and supplementary proevolution texts were assigned. Moreover, students were asked to state their initial attitudes toward creationism only at the end of term, when their recollections may have been influenced by the experience of taking part in the study. The most serious problem is with data analysis. While Verhey's primary finding is that attitude change was greater for the group exposed to creationist information, his measure inexplicably includes change away from evolution. Thus this measure cannot be used to determine the effectiveness of this approach in instilling proevolution change, the goal of this study. Verhey did provide data that allow this critical issue to be examined. He reported that 9 students out of 38 in the creationism-plus-evolution group shifted their attitudes toward evolution, compared with 5 students out of 28 in the evolution-alone group. However, I have been informed that the 5-students datum is in error, and the correct number is 2. Using the correct value, the groups do not differ significantly by Fisher's exact test (p = 0.10, two-tailed). A two-tailed test is appropriate here, given that a plausible alternative outcome is that the teaching of ID may instead shift attitudes toward creationism. Nevertheless, even with a one-tailed test, the results remain nonsignificant (p = 0.07). Moreover, 3 students in the creationism-plus-evolution group shifted toward creationism; none in the evolution-alone group did. Consequently, Verhey's report does not provide evidence supporting the introduction of ID into the college classroom as a pedagogical technique to promote acceptance of evolution.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,008 | 0,011 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,014 | 0,007 |
| Science ouverte | 0,003 | 0,009 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,675 | 0,633 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».