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Record W1989899836 · doi:10.1080/08941920.2010.551533

Inuit Safety Culture and Its Relevance to Safety Management in Auyuittuq National Park

2011· article· en· W1989899836 on OpenAlexaffabout
Karin Johansson, Micheline Manseau

Bibliographic record

VenueSociety & Natural Resources · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsParks CanadaUniversity of Manitoba
Fundersnot available
KeywordsNational parkContext (archaeology)Safety cultureRelevance (law)Public relationsEnvironmental resource managementFocus groupEnvironmental planningPolitical scienceGeographySociologyManagementAnthropologyArchaeology

Abstract

fetched live from OpenAlex

This article examines how the Inuit of Qikiqtarjuaq, Canada, perceive and respond to risk when traveling on the land and how this may enhance safety management in Auyuittuq National Park. Twenty-five interviews and groups meetings were held with community experts and park staff in 2007–2008. The way in which the Inuit of Qikiqtarjuaq perceive and respond to risk is better understood as their safety culture, which arises from a distinct socioecological context. This safety culture is tied to the past, maintained through relationships, specialized to the arctic environment, developed through experience, and connected to Inuit identity. For Auyuittuq National Park, the safety program follows a national framework with a strong focus on planning and reporting, the capacity of the local offices being limited. Since Auyuittuq National Park depends on local capacity to fulfill its responsibilities, we discuss ways to foster a better understanding and respect of the cross-cultural dimensions of safety.

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)0.003
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 score0.359
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.030
GPT teacher head0.338
Teacher spread0.308 · 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

Citations4
Published2011
Admission routes2
Has abstractyes

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