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Use of ID Material Unsupported

2006· article· en· W2146637664 on OpenAlexaff
Stephen L. Black

Bibliographic record

VenueBioScience · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAccess Control and Trust
Canadian institutionsBishop's University
Fundersnot available
KeywordsComputational biologyBiology

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.675
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.011
Science and technology studies0.0060.004
Scholarly communication0.0140.007
Open science0.0030.009
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.6750.633

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.

Opus teacher head0.036
GPT teacher head0.287
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractno

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