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Record W4248337018 · doi:10.3402/polar.v28i1.6098

From good to eat to good to watch: whale watching, adaptation and change in Icelandic fishing communities

2009· article· en· W4248337018 on OpenAlex
Níels Einarsson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePolar Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersEuropean Science FoundationArctic Institute of North AmericaNational Science Foundation
KeywordsWhalingFishingFisheryMarine conservationGeographyCommercial fishingWhaleArcticTourismFishing industryEcologyBiology

Abstract

fetched live from OpenAlex

Arctic and North Atlantic fishing communities may seem unlikely candidates for a viable whale-watching industry, because of the prevalent traditional consumptive attitudes towards marine mammals and their uses. The topic of this paper is the introduction of an internationally growing industry of whale watching in a fishing village in north-east Iceland, and how local inhabitants reconcile opposing views on whales, whaling and the new cetacean tourism. The paper also discusses the conflict between fishermen and marine mammals, and how it is managed in an area where fishing is still a mainstay of the economy, and where marine mammals are seen by many as competitors for scarce resources, and even as pests. This anthropological case study is used to address wider issues of adaptation, community viability and resilience in small resource-dependent coastal settlements, coping with rapid social and ecological change.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.311
GPT teacher head0.493
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