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Record W2075333160 · doi:10.2304/plat.2013.12.2.179

Enhancing Introductory Psychology Students' Appreciation of Research: A Multidimensional Scaling Classroom Activity

2013· article· en· W2075333160 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychology Learning & Teaching · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methodologies in Social Sciences
Canadian institutionsNorth Island College
Fundersnot available
KeywordsMultidimensional scalingSection (typography)PsychologySimilarity (geometry)Mathematics educationCoding (social sciences)Value (mathematics)MathematicsComputer scienceStatisticsArtificial intelligence

Abstract

fetched live from OpenAlex

In an attempt to influence students' appreciation of the value of research, the authors introduced a multidimensional scaling activity in a section of introductory psychology. In two consecutive 80-minute classes, 32 students worked in pairs, categorizing 20 crimes on the basis of similarity and coding their partner's responses, and then worked in groups of 4, interpreting a 2-dimensional solution of the pooled data. The students' appreciation of the value of research was assessed at the beginning and end of the course, using a second section of 36 students as a comparison group. It was found that appreciation of research increased significantly in the section that completed the activity. The authors recommend incorporating research activities into introductory courses.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.168
GPT teacher head0.539
Teacher spread0.371 · 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