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Record W1965575813 · doi:10.1080/14703290110051398

An Innovative Modification to Structured Controversy

2001· article· en· W1965575813 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInnovations in Education and Teaching International · 2001
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPedagogyPsychologyMedical educationMathematics educationSociologyMedicine

Abstract

fetched live from OpenAlex

'Structured Controversy' (SC) is a co-operative learning activity where students, working in small groups, argue one side of an issue in Round 1 and then another side of the same issue in Round 2. Typically, for Round 2, student teams argue against the same team they heard and spoke with in Round 1. Our innovation is to have student teams matched with a different team for Round 2 (in addition to arguing another side of the issue), in what we call a 'Double Switch'. SC was successfully used in the course, 'Professional Issues', at the School of Physical Therapy, University of Saskatchewan, two years running in October 1999 and again in October 2000. The students reported a high degree of satisfaction with the SC activity and were challenged to think deeply about the issue in question. It appears that the modification we used (Double Switch)made Round 2 effective and as a result enhanced student learning.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.458
Teacher spread0.417 · 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