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Record W3081180881 · doi:10.1080/22423982.2020.1811517

Wood smoke black carbon from Indigenous traditional cultural activities in a subarctic Cree community

2020· article· en· W3081180881 on OpenAlexafffund
Robert J. Moriarity, Meaghan J. Wilton, Eric N. Liberda, Leonard J. S. Tsuji, Richard E. Peltier

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
FundersCanadian Institutes of Health ResearchU.S. Environmental Protection Agency
KeywordsSubarctic climateIndigenousSmokeIndigenous cultureGeographyArchaeologyEcologyMeteorologyBiology

Abstract

fetched live from OpenAlex

<p dir="ltr">This article measures black carbon from wood smoke during traditional cultural activities in Fort Albany First Nation, a subarctic Cree community on James Bay. The study examined black carbon levels in a game-smoking tent and in hunting cabins where wood was burned for heating, cooking, food flavouring, and preservation. Black carbon levels were generally lower in hunting cabins with vented wood-burning appliances but were much higher during some periods in the game-smoking tent, especially when fires were started, stoked, or loaded. A propane-heater intervention reduced measured black carbon in one hunting cabin, although it was not fully practical for cold remote conditions and did not replace the broader uses of wood stoves in camp life.</p>

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

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

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 head0.101
GPT teacher head0.353
Teacher spread0.252 · 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.

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

Citations2
Published2020
Admission routes2
Has abstractyes

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