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Record W2099738025 · doi:10.5539/jsd.v6n3p58

Contending Claims over Access to Fisheries: A Case Study of the Okavango Delta Panhandle, Botswana

2013· article· en· W2099738025 on OpenAlexvenueno aff
Gagoitseope Mmopelwa, Barbara Ntombi Ngwenya, Donald L. Kgathi

Bibliographic record

VenueJournal of Sustainable Development · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureFishingLivelihoodDeltaTourismFisheryRecreationGeographyRecreational fishingConflict managementFisheries managementBusinessEnvironmental resource managementEnvironmental planningAgricultureEcologyEconomicsPolitical science

Abstract

fetched live from OpenAlex

Fishing is one of the key livelihood activities in the Okavango Delta in Botswana. Subsistence fishers, commercial fishers and tourist lodge operators derive material and non-material benefits from fishery. However open access fishing has resulted in intergroup conflicts. The objectives of the study were to describe the nature of the fishing conflict and to suggest feasible conflict management strategies. A questionnaire based survey conducted among subsistence fishers, commercial fishers in four villages and among tourist lodge operators in the Panhandle of the Okavango Delta found that fishing in common grounds was the main source of conflict between commercial and recreational fishing. The paper discusses options for managing the conflict to avoid undesired consequences on the fishery resources of the Okavango Delta.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0030.002
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 head0.016
GPT teacher head0.262
Teacher spread0.245 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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