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Record W3128741916 · doi:10.18584/iipj.2021.12.1.10475

Is Geographical Isolation Associated with Poorer Outcomes for Northern Manitoba First Nation Communities?

2021· article· en· W3128741916 on OpenAlexaffvenueabout
Josée G. Lavoie, Wanda Phillips-Beck, Kathi Avery Kinew, Stephanie Sinclair, Grace Kyoon‐Achan, Alan Katz

Bibliographic record

VenueInternational Indigenous Policy Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsFirst Nations Health and Social Secretariat of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsIndigenousDemographyMedicineIsolation (microbiology)PopulationEpidemiologyMortality rateGeographyGerontologyEnvironmental healthEcologySociology

Abstract

fetched live from OpenAlex

This study tested the assumption that geographical isolation is associated with poorer population health outcomes among First Nations in Manitoba. Our results show higher premature mortality rates (PMR) in northern communities, declining slower than for any other Manitoba communities. Our results also show lower ambulatory care sensitive conditions (ACSC) hospitalization rate in the North, suggesting barriers to prevention and early diagnosis. There remains a large gap in ACSC hospitalization rates between First Nations and all Manitobans. Further research is warranted to understand the relationship between the changes in the rates of ACSC and the difference in the rates between northern and southern communities.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.905

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.096
GPT teacher head0.415
Teacher spread0.318 · 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 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

Citations9
Published2021
Admission routes3
Has abstractyes

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