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Record W3190115293 · doi:10.1177/11033088211032791

Pandemic Impacts for Indigenous Children and Youth Within Canada: An Ethical Analysis

2021· article· en· W3190115293 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueYoung · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsIndigenousPandemicHolismSociologyEconomic JusticeEnvironmental ethicsCriminologyPolitical scienceCoronavirus disease 2019 (COVID-19)MedicineLaw

Abstract

fetched live from OpenAlex

In response to new and exacerbated challenges imposed by the COVID-19 pandemic, Indigenous children and youth in Canada have developed innovative and holistic solutions to amplify their voices, continue cultural engagement and combat social isolation for themselves and their communities as a whole. In this analysis, we have selected three Indigenous philosophical tenets as an ethical orientation for discussion of how the COVID-19 pandemic is impacting the well-being of Indigenous young people. The guiding values of interconnected relationships, holism and Indigenous-informed restorative justice help us interpret existing pandemic-specific literature and identify, define and prioritize considerations of child and youth well-being from an Indigenous-centred worldview. This analysis can (a) help inform future pandemic measures affecting Indigenous young people and (b) foster similar considerations for Indigenous communities in other regions of the world.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.308
Teacher spread0.292 · 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