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Shifting perspectives on shifting ice: documenting and representing Inuit use of the sea ice

2011· article· en· W1574250885 on OpenAlexaffvenueabout
Claudio Aporta

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsCarleton University
Fundersnot available
KeywordsSea iceGeographyArcticContext (archaeology)Arctic ice packClimate changePoliticsVulnerability (computing)OceanographyPhysical geographyPolitical scienceArchaeologyMeteorologyGeology

Abstract

fetched live from OpenAlex

Although much has changed for Inuit since their social, economic, and political integration into Canada, sea ice still forms an essential part of what they call their homeland. The ways in which sea ice is understood by Inuit, however, are still little known to non‐Inuit. Alongside the currently renewed political and economic interest in the Arctic regions, and in part as a result of the mounting preoccupation with the vulnerability of Arctic ecosystems and peoples due to climate change, new research is shedding light on significant aspects of how Inuit use and understand sea ice. This article will focus on the Inuit Sea Ice Use and Occupancy Project (ISIUOP), an initiative to document and map Inuit sea ice use in several communities of Nunavut and Nunavik. ISIUOP is then analyzed in the context of earlier sea ice research and in connection with previous studies of Inuit land use. A comparison between a land use study conducted in the 1970s and ISIUOP is then undertaken in order to highlight differences and similarities in the ways research is conducted and in the changing contexts surrounding both Arctic researchers and Arctic inhabitants .

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.272
Teacher spread0.239 · 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.

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

Citations71
Published2011
Admission routes3
Has abstractyes

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