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Record W4381046519 · doi:10.15173/sciential.v1i10.3347

Effects of knowledge about tuberculosis on its prevalence in Inuit communities in Nunavut, Northern Canada

2023· article· en· W4381046519 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSciential - McMaster Undergraduate Science Journal · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIndigenousTuberculosisIgnoranceColonialismHealth careGeographyDiseaseEconomic growthMedicineEnvironmental healthSocioeconomicsPolitical scienceSociologyEcology

Abstract

fetched live from OpenAlex

Rising tuberculosis cases are a global health issue that the United Nations Member States have committed to eradicating by 2030. In developed countries such as Canada, TB affects Indigenous populations disproportionately. Inuit people have 300 times greater risk of TB infections compared to non-Indigenous people. Due to Canada's colonial history, Indigenous people remain underrepresented in healthcare. Therefore, this research proposal aims to understand the link between the lack of access to resources, such as knowledge about tuberculosis and the rising TB cases, among Inuit people in Northern Canada. It is hypothesized that due to marginalization and cultural ignorance, preventative measures are not accessible to Inuit people and can influence the high transmission of the disease. Based on the results of the inclusive design of this research, future studies can aim to help voice the concerns of Indigenous people and advocate for their right to access equitable healthcare.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.033
GPT teacher head0.339
Teacher spread0.305 · 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