Assessment of the present capacity for Management of the Loco Concholepas concholepas (BRUGUIERE, 1789) (GASTROPODA, MURICIDAE) in Chile.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".