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Record W2198619987

Lobster fishing in Ceylon

2021· article· en· W2198619987 on OpenAlexaboutno aff
G.H.P. De Bruin

Bibliographic record

VenueAquaDocs (United Nations Educational, Scientific and Cultural Organization) · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCeylonFisheryFishingSpiny lobsterReefGeographyCoral reefCrustaceanBiology
DOInot available

Abstract

fetched live from OpenAlex

The presence of spiny lobsters in the reefs lying off the coasts of Ceylon is known to local fishermen and skin divers. However, a well-established fishery for these lobsters does not exist as fishermen engaged occasionally in this activity catch only a few lobsters during the course of a day's fishing. Considering the present state of development of lobster fishing in Ceylon, it is not possible to state whether lobsters are found in sufficient numbers in the seas off Ceylon. This knowledge is very important before the introduction of new methods of fishing can be made. Experiments were therefore conducted to determine the most efficient type of trap that could be used to appraise the resources present in the coral reefs and other rocky areas. Designs of traps, similar to those used in Scotland, England, Wales and Canada, were made locally. These were tested for efficiency in areas known to be inhabited by spiny lobsters.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
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
Bibliometrics0.0000.009
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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 head0.013
GPT teacher head0.239
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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