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Record W1988737075 · doi:10.1080/01634372.2015.1032469

Inuit Elderly: A Systematic Review of Peer Reviewed Journal Articles

2015· review· en· W1988737075 on OpenAlexafffundabout
Balvinder K. Somogyi, Melanie Barker, C B Maclean, Pamela Grischkan

Bibliographic record

VenueJournal of Gerontological Social Work · 2015
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsSystematic reviewPeer reviewGerontologyBridge (graph theory)PsychologySociologyMedicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

Over the last century, Inuit have experienced rapid social changes that have greatly impacted their way of life, health, and intergenerational traditions. Although there is a growing body of research concerning Inuit youth, relatively little is known about elderly Inuit. In an effort to bridge this knowledge gap, a systematic review of peer-reviewed journal articles was conducted. This review identified a dearth of research on older Inuit, and highlighted limitations in service provision to this primarily rural and isolated population. Implications for policy and practice and recommendations for future research are also discussed.

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)0.013
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.061
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0240.023
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.224
GPT teacher head0.486
Teacher spread0.262 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2015
Admission routes3
Has abstractyes

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