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Assessment of the present capacity for Management of the Loco Concholepas concholepas (BRUGUIERE, 1789) (GASTROPODA, MURICIDAE) in Chile.

2024· article· en· W4390875527 on OpenAlexfundno aff
James P. Geaghan, Juan Carlos Castilla

Bibliographic record

VenueBiologia Pesquera · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
FundersUS-UK Fulbright CommissionInternational Development Research CentreLouisiana State University
KeywordsMuricidaeFisheryFishingPopulationGeographyGastropodaBiologyEcologyDemography

Abstract

fetched live from OpenAlex

In recent years the fishery for loco (Concholepas concholepas) has undergone a number of changes in management strategy. The first was a change in the mínimum size limit from 95 mm in the north of Chile and 105 min in the south to a uniform 100 mm in 1981. An annual 3 month closed season was initiated in 1982, and. starting in September of 1985. There was a closure of nearly two years in all regions except the southernmost three. This two-year closure has been followed by two short open seasons, one of 45 days in 1987. and one with a national 5,000 ton quota in 1988. The response by fishermen to increasingly restrictive regtdation has been some clandestine fishing and the stockpiling of locos prior to the open season. These actions have resulted in i he partial loss of landings data and a nearly total loss of meaningful effort data. This loss of data will have serious impact on the ability of fishery managers to effectively evaluate the State of the fishery and determine future regulatory actions. There is considerable published background information on the basic biology of the species. and some Information on aspects of the population dynamics such as growth and mortality. There are. however, large discrepancies between authors which mav be due lo sub-populalion or regional differences.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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 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
Published2024
Admission routes1
Has abstractyes

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