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Record W4221106715 · doi:10.1111/faf.12657

Basin‐scale approach needed for Yangtze River fisheries restoration

2022· article· en· W4221106715 on OpenAlexaff
Binsong Jin, Kirk O. Winemiller, Wenwei Ren, Dave Tickner, Xiaohua Wei, Li Guo, Qin Li, Hui Zhang, Paulo dos Santos Pompeu, Marc Goichot, Sikai Wang, Ruichang Shen, Xiaoping Wu

Bibliographic record

VenueFish and Fisheries · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNational Natural Science Foundation of China
KeywordsFishingFisheryStructural basinYangtze riverChinaGeographyEnvironmental resource managementScale (ratio)Environmental scienceGeology

Abstract

fetched live from OpenAlex

Abstract The Yangtze River contains the highest fish diversity and most important inland fishery resources in China, but its biota and ecosystem services face an uncertain future. The river and its basin have undergone vast changes from centuries of human impacts, and fish stocks are in a particularly dire situation. A complete 10‐year moratorium on commercial fishing within the entire Yangtze River was implemented starting in January 2021. By itself, the ban on fishing will unlikely guarantee full recovery. We conclude that multiple human impacts to the basin and its fish stocks require multidisciplinary strategies implemented at the whole basin scale for effective conservation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.186
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations31
Published2022
Admission routes1
Has abstractyes

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