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Record W3167921071 · doi:10.1017/s0269889721000016

Rendering Inuit cancer “visible”: Geography, pathology, and nosology in Arctic cancer research

2020· article· en· W3167921071 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

VenueScience in Context · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCircumpolar starNosologyDiseasePresentation (obstetrics)CancerEpidemiologyMedicineGeographyPathologySurgery

Abstract

fetched live from OpenAlex

In August of 1977, Australian pathologist David W. Buntine delivered a presentation at the Annual Meeting of the Royal College of Pathologists of Australia in Melbourne, Victoria. In this presentation, he used the diagnostic category of "Eskimoma," to describe a unique set of salivary gland tumors he had observed over the past five years within Winnipeg's Health Sciences Center. Only found amongst Inuit patients, these tumors were said to have unique histological, clinical, and epidemiological features and were unlike any other disease category that had ever been encountered before. To understand where this nosological category came from, and its long-term impact, this paper traces the historical trajectory of the "Eskimoma." In addition to discussing the methods and infrastructures that were essential to making the idea of Inuit cancer "visible," to the pathologist, the epidemiologist, and to society at large, this paper discusses how Inuit tissue samples obtained, stored, and analyzed in Winnipeg, Manitoba, came to be codified into a new, racially based disease category - one that has guided Canadian and international understandings of circumpolar cancer trends and shaped northern healthcare service delivery for the past sixty years.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.669
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.164
GPT teacher head0.485
Teacher spread0.321 · 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