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Record W1574408600 · doi:10.1093/spp/31.5.417

Puzzle unfolding: complexity of interdisciplinary research

2004· article· en· W1574408600 on OpenAlex
Tom Koch

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

VenueScience and Public Policy · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColumbia universityLibrary scienceSociologyMedia studiesComputer science

Abstract

fetched live from OpenAlex

Puzzle unfolding: complexity of interdisciplinary research Get access Hunting the 1918 Flu: One Scientist's Search for a Killer Virus by Duncan Kirsty University of Toronto Press, 2003, $24.50, 0-8020-8478-5 Tom Koch Tom Koch adjunct professor of geography (medical) at the University of British Columbia and of gerontology at Simon Fraser University University of British Columbia, Department of Geography (medical), 1984 West Mall, Vancouver, BC, Canada V6T 2S1; Website: http://kochworks.com Search for other works by this author on: Oxford Academic Google Scholar Science and Public Policy, Volume 31, Issue 5, October 2004, Pages 417–419, https://doi.org/10.1093/spp/31.5.417 Published: 01 October 2004

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)0.015
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.012
Science and technology studies0.0020.007
Scholarly communication0.0010.002
Open science0.0020.003
Research integrity0.0000.000
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 head0.389
GPT teacher head0.553
Teacher spread0.164 · 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