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Record W4283832859 · doi:10.32799/ijih.v17i1.36933

The health impacts of social distancing among Indigenous People in Ontario during the first wave of COVID-19

2022· article· en· W4283832859 on OpenAlexaffvenueabout
Chantelle Richmond, Veronica Reitmeier, Katie Big-Canoe, Erik Mandawa, Razan Mohammed, Hallie Abrams

Bibliographic record

VenueInternational Journal of Indigenous Health · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of TorontoDalhousie UniversityWestern University
Fundersnot available
KeywordsIndigenousSocial distanceDistancingPsychological resilienceVulnerability (computing)SociologySocial isolationRelocationSocial psychologySocioeconomicsEconomic growthCoronavirus disease 2019 (COVID-19)PsychologyMedicineEcologyDisease

Abstract

fetched live from OpenAlex

Among Indigenous People in Canada and around the world, the health impacts of COVID-19 have been measured largely through biological, social, and psychological impacts. Our study draws from a relational concept of health to examines two objectives: 1) how social distancing protocols have shaped Indigenous connections with self, family, wider community, and nature; and 2) to exploring what these changing relationships mean for perceptions of health. Carried out by an Indigenous team of scholars, community activists and students, this research draws from a decolonizing methodology and qualitative interviews (n=16) with Indigenous health and social care providers in urban and reserve settings. Our results illustrate a considerable decline in interpersonal connections, such as with family, community organizations, and larger social networks, as a result of social distancing. Among those already vulnerable, underlying health, social, and economic inequities have been exacerbated. While the health impacts of COVID-19 have been overwhelmingly negative, participants noted the importance of this time for self-reflection and reconnection of human-kind and with mother earth. This paper offers an alternative perspective to popularized views of Indigenous experiences of COVID-19 as they relate to vulnerability and resilience.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.318
Teacher spread0.303 · 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 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
Published2022
Admission routes3
Has abstractyes

Explore more

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