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Record W1576339857 · doi:10.1093/spp/30.2.139

Multilevel analysis effective for mapping a complex entity

2003· article· en· W1576339857 on OpenAlex
Dawn House

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 · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLibrary scienceRegional scienceMedia studiesPublic administrationSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Multilevel analysis effective for mapping a complex entity The National Research Council in the Innovation Policy Era: changing hierarchies, networks and markets by Doern G Bruce and Levesque Richard University of Toronto Press, Toronto/Buffalo/London, 2002, 380, Can$40/£25, 0-8020-3536-1 Dawn House Dawn House Centre for Policy Studies in Higher Education and Training, University of British Columbia, 2125 Main Mall, Vancouver, BC, V6T 1Z4, Canada; E-mail: dhouse@interchange.ubc.ca Search for other works by this author on: Oxford Academic Google Scholar Science and Public Policy, Volume 30, Issue 2, April 2003, Pages 139–140, https://doi.org/10.1093/spp/30.2.139 Published: 01 April 2003

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.065
GPT teacher head0.372
Teacher spread0.307 · 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