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Record W7058805538

Fishing guidelines

2021· book· en· W7058805538 on OpenAlexaboutno aff

Bibliographic record

VenueAquaDocs (United Nations Educational, Scientific and Cultural Organization) · 2021
Typebook
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFishingCertificationConventionNegotiationDeclarationFish stockFishing industryCode of conductFisheries managementInternational waters
DOInot available

Abstract

fetched live from OpenAlex

In accordance with the recommendations of the Committee on Fisheries (COFI), FAO prepared the first draft of the technical guidelines in relation to Fishing Operations, which were submitted to the Technical Consultation on the Code of Conduct for Responsible Fishing, Rome, 26 September to 5 October 1994. The draft was prepared taking into account the Declaration of Cancún, Agenda 21 of United Nations Conference on Environment and Development (UNCED) and the Report of the Expert Consultation on Responsible Fishing Operations, Sidney, British Colombia, Canada, 6 -11 June 1994. Thereafter, the draft was revised taking into account, the negotiations at the UN Conference on Straddling Fish Stocks and Highly Migratory Fish Stocks, the elaboration of the Code as well as developments at the International Maritime Organization (IMO) with regard to the Protocol to the Torremolinos International Convention on Fishing Vessel Safety and the new International Convention on Training, Certification and Watchkeeping for Fishing Vessel Personnel, 1995. Technical Guidelines are given in support of the implementation of the Code in relation to fishing operations. These are addressed to States, international organizations, fisheries management bodies, owners, managers and charterers of fishing vessels as well as fishers and their organizations. Guidance is also given with respect to the general public. (PDF contains 93 pages)

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.261
Teacher spread0.237 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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