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The restructuring of the Spanish salted fish market

2008· article· en· W2048548031 on OpenAlexvenueno aff
Knut Bjørn Lindkvist, L. Gallart-Jornet, MAI CECILIE STABELL

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsIcelandicRestructuringSalted fishSaltingFish <Actinopterygii>Dried fishProduction (economics)BusinessFish processingConsumption (sociology)Industrial organizationEconomyFisheryEconomicsFood scienceBiologySociologySocial science

Abstract

fetched live from OpenAlex

This article discusses how cultural, technological and social factors contribute to the restructuring of the Spanish salted fish market and production systems. The analytical principles used are institutional, evolutionary socio‐economic theories on spatial, technological and social change. A major focus of the analysis is the use of production chain theory to analyze the Spanish salted fish market. The main issue is whether Spain, as a traditional salted fish consumer market, is more influenced by technology and supplier strategies than by cultural aspects and consumer traditions. The strategies of Icelandic salted fish suppliers, better preservation systems and new salting methods seem to have influenced the restructuring of the Spanish salted fish market more than cultural factors. Nevertheless, without the Spanish tradition of salted fish, the new light salted fillets and desalted products most likely would not have been accepted by consumers. In addition, the Icelandic influence proves the strength of national Icelandic production systems .

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.163
Teacher spread0.154 · 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 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

Citations48
Published2008
Admission routes1
Has abstractyes

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