MétaCan
Menu
← Back to cohort
Record W4236395399 · doi:10.24124/2002/bpgub253

Environment, salmon and politics: British Columbia's role in domestic and international fisheries policy, 1996--1999.

2002· dissertation· en· W4236395399 on OpenAlexafffundabout
Robert Leigh Ferrier

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsBibliothèque et Archives nationales du Québec
FundersFisheries and Oceans Canada
KeywordsPoliticsFisheryPolitical scienceArtGeographyEnvironmental ethicsPhilosophyLawBiology

Abstract

fetched live from OpenAlex

The quality o f th is re p ro d u c tio n is dependent upon th e quality o f th e copy subm itted.Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and im proper alignment can adversely affect reproduction.In the unlikely event that the au th o r did not send UMI a complete m anuscript and there are missing p ag es, th e se will be noted.Also, if unauthorized copyright material had to be rem oved, a note will indicate the deletion.Oversize materials (e.g., m aps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand com er a nd continuing from left to right in equal sections with small overlaps.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2002
Admission routes3
Has abstractyes

Explore more

Same topicMarine and fisheries research→French-language works237,207→