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Record W2327223654 · doi:10.5751/es-05919-180466

A Short History of the Namibian Hake Fishery—a Social-Ecological Analysis

2013· article· en· W2327223654 on OpenAlexaffvenue
Barbara Paterson, C. H. Kirchner, Rosemary E. Ommer

Bibliographic record

VenueEcology and Society · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsUniversity of Victoria
FundersUniversity of Cape TownDanmarks Tekniske Universitet
KeywordsFisheryFisheries managementFishingDilemmaFish stockPovertyHakeIndependence (probability theory)Equity (law)Government (linguistics)GeographyEconomicsBusinessFish <Actinopterygii>Political scienceEconomic growthBiology

Abstract

fetched live from OpenAlex

As a legacy of Namibia's colonial past, the country inherited severely depleted fish resources at the time of independence. Today, Namibia's fisheries are almost exclusively industrial. The hake fishery is the country's most important fishery, which was restructured from a pre-independence foreign fishery into one that is characterized by locally based, vertically integrated fishing and processing companies. It is widely believed that Namibia has successfully combined the neoliberal economics that have been characteristic of the development narratives since the 1980s with welfarist goals for poverty reduction. However, there are strong indications that the fish stocks are declining, while the high economic expectations for the fishery have not been fulfilled. Rather, it seems that the Namibian government's attempt to combine economic neoliberalism and social equity has, in fact, created a developmental dilemma. We track the environmental impact of the historic exploitation of Namibia's fish resources and examine this dilemma and its effects on Namibia's fisheries management.

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)0.000
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 score0.208
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.011
GPT teacher head0.194
Teacher spread0.183 · 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

Citations27
Published2013
Admission routes2
Has abstractyes

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