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Record W4367159048 · doi:10.7202/1078965ar

A Cree Indian Treatment for Psoriasis: A Longitudinal Study

2021· article· en· W4367159048 on OpenAlexafffund
Janice M. Morse, Ruth McConnell

Bibliographic record

VenueCulture · 2021
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsRoyal Alberta MuseumUniversity of Alberta
FundersUniversity of AlbertaStrong
KeywordsCeremonyMedicinePsoriasisAlternative medicineLongitudinal studyFamily medicineTraditional medicineDermatologyHistoryPathology

Abstract

fetched live from OpenAlex

This article reports on the treatment of 10 non-native patients with psoriasis by a Cree Indian healer. The traditional treatment ceremony is described, and the changes in the course of the disease over a six-month period are documented using the patient’s subjective reports of symptoms, outline tracings of selected lesions, videotapes and photographs. The study is unique in two ways: (1) it included a variety of documentary procedures seldom allowed by native healers and it was conducted under conditions that facilitated evaluation; and (2) to the researchers’ knowledge, it is the first study of traditional native medicine with long-term follow-up of participants. Initially, all patients responded to the treatment, but by the sixth month improvement remained in only six patients. Difficulties encountered when conducting research on traditional healing are discussed and future research directions are indicated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.131
GPT teacher head0.407
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2021
Admission routes2
Has abstractyes

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