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Record W1964403010 · doi:10.1017/s003224741200085x

The need to ‘belong’: social connectedness and spatial attachment in Polar Eskimo settlements

2013· article· en· W1964403010 on OpenAlexaff
Stephen Pax Leonard

Bibliographic record

VenuePolar Record · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsTrinity College
Fundersnot available
KeywordsIndigenousSocial connectednessHuman settlementArcticDemiseGeographyNatural (archaeology)Variety (cybernetics)Sense of placeEnvironmental ethicsEthnologyHistoryEcologyEconomic geographyPolitical scienceOceanographyArchaeologyPsychologySocial psychologyGeology

Abstract

fetched live from OpenAlex

ABSTRACT Climate and environmental change places a variety of different pressures on remote, indigenous Arctic communities. The sea ice is the platform on which the Inugguit culture of northwest Greenland is based and thus it is inevitable that its retreat will have implications for the indigenous notion of place and for the manner in which the Inugguit articulate their sense of belonging with respect to the natural environment. With the demise of story-telling, the traditional vehicle for knowledge transmission, and the squeeze on hunting by consumer society and the Greenland Self Rule imposed quota system, it is apparent that some younger people are now engaging with more western ontologies of place. The relationship between man and nature is for some beginning to be expressed in terms of detachment and not extension. Whilst the way the Inugguit relate to their immediate natural environment might be in flux, other social practices of belonging such as naming and visiting are unchanged and still characterise these communities. In northwest Greenland, the need to ‘belong’ remains the social imperative that it has always been and the mechanisms used to reinforce this remain intact.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.008
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.361
Teacher spread0.332 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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