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Record W4411388039 · doi:10.1080/1088937x.2025.2477750

When a fish is not just a fish: sharing country food as communicative practice in co-management

2025· article· en· W4411388039 on OpenAlexafffundabout
Suzanne Chew

Bibliographic record

VenuePolar Geography · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsGeneral Electric (Canada)University of TorontoUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFish <Actinopterygii>FisheryBusinessBiology

Abstract

fetched live from OpenAlex

Public participation is commonly performed through public hearings which are largely shaped by modern ontology – the dominant Western paradigm – as reflected in Habermas’ communicative norms privileging rationality, argumentation, language, formality, expertise, and institutional authority. Yet silence and performative storytelling serve as meaningful communicative practice for many Inuit. In Nunavut, participatory democracy is practiced through public hearings – a key way in which the Nunavut Wildlife Management Board engages communities in decision-making. Hearings were convened in 2020 on Government of Nunavut proposals to further restrict caribou harvesting, affecting four communities. Analyzing public participation as communicative practice, this paper explores the act of sharing country food – dried Arctic char, or piffi – by a community member at the caribou hearings, and unveils critical discourses of harvesting evoked by this act. As embodied and emplaced communicative practice, this act not only asserted sovereignty, but reshaped deliberative space through generative refusal of Habermas’ communicative norms, opening a world enlivened by Inuit Qaujimajatuqangit. Yet, sharing piffi was largely invisibilized – neither detailed within the official transcript, nor elaborated upon in formal proceedings. Strengthening participatory democracy necessitates careful attention to whose voice is heard, and the creation of ontologically pluralist spaces of decision-making.

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)0.010
metaresearch head score (Gemma)0.007
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 score0.029
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0220.065
Scholarly communication0.0140.010
Open science0.0020.012
Research integrity0.0030.004
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 head0.021
GPT teacher head0.269
Teacher spread0.248 · 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
Published2025
Admission routes3
Has abstractyes

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