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Record W7027471848

Comment on Fishing Effort Allocation in the Turks and Caicos Islands

2009· report· en· W7027471848 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typereport
Languageen
FieldEnvironmental Science
TopicRemote Sensing and LiDAR Applications
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsFishingDe factoArtisanal fishingGovernment (linguistics)Developing countryEconomic data
DOInot available

Abstract

fetched live from OpenAlex

"There is no doubt that social structure and norms play an important role in economic efficiency but to downplay the crucial role that economic factors play in artisanal fisher decision making can lead to faulty policy recommendations and could potentially jeopardize efforts to conserve important reef species and habitats. Like terrestrial farmers and forest users in developing countries, the decisions of artisanal fishers tend to be uncompromisingly economic in nature when all factors ? information availability, risk preferences, and wealth (or lack thereof) ? are considered. Fishers in the Turks and Caicos Islands tend to be marginalized ethnically or socially, and the fishery acts as the de facto social safety net. In circumstances such as these, fishers tend to be highly cognizant of risk and rewards even if the dockside banter centers on diving skill. Artisanal fishers? economic decision-making capacity should not be underestimated."

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.777
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.185
Teacher spread0.175 · 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