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Record W3096548089 · doi:10.15402/esj.v6i1.70734

Inuusinni Aqqusaaqtara – My Journey: Meeting the Information Needs of Inuit Living with Cancer

2020· article· en· W3096548089 on OpenAlexaffvenueabout
Savanah Ashton, Tracy Torchetti

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsCanadian Cancer SocietyPauktuutit
Fundersnot available
KeywordsHealth careNursingCancerPublic relationsMedicinePolitical science

Abstract

fetched live from OpenAlex

The Inuit Cancer Project aims to help Inuit better understand cancer and improve communication between Inuit with cancer and non-Inuit healthcare providers and support services. The project has created resources that are culturally relevant, appropriate, and accessible to Inuit patients and the healthcare providers working with them. Not only are we helping to educate and empower Inuit patients and their families, but also better educating healthcare providers around the importance of cultural knowledge in cancer care. Our ultimate goal is to improve health outcomes by increasing awareness and understanding of cancer among Inuit communities. This project is a collaboration between Pauktuutit Inuit Women of Canada and the Canadian Cancer Society. It highlights how partnerships with organizations, both big and small, and connected with the community, can have a real impact.

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)0.724
metaresearch head score (Gemma)0.539
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7240.539
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.6800.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.688
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 head0.159
GPT teacher head0.425
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2020
Admission routes3
Has abstractyes

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