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Record W3027523662 · doi:10.1017/s0032247420000170

The knowledge that went up in smoke: Reindeer herders’ traditional knowledge of smoked reindeer meat in literature

2019· article· en· W3027523662 on OpenAlex
Kia Krarup Hansen, Turid Moldenæs, Svein Disch Mathiesen

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 Record · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersNorges ForskningsrådArctic Institute of North America
KeywordsGeographySociology of scientific knowledgeEthnologySociologySocial science

Abstract

fetched live from OpenAlex

Abstract Using a literature review, this paper defines the knowledge status of smoked reindeer meat and investigates to what degree reindeer herders’ traditional knowledge has been included in scientific articles and grey literature. We developed a four-level categorisation of the degree of including traditional knowledge, from “non-participation” to “self-determination,” and three levels of focus. Very few scientific articles on smoked or smoking reindeer meat appeared in the review. Not only did reindeer peoples’ traditional meat smoking knowledge “went up in smoke”—both literally and metaphorically—but also incorrect conclusions were often drawn as a result of that exclusion. We argue that reindeer herders’ traditional knowledges and practices of smoking reindeer meat need examination and inclusion through co-production or self-determination methods across scientific disciplines.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.073
GPT teacher head0.356
Teacher spread0.283 · 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