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Record W4387141427 · doi:10.54434/candj.139

Applying the Attrition Model to the Medical System: A Critique of the Current Resistance by the Naturopathic Profession in Canada to the Dominant Paradigm

2023· article· en· W4387141427 on OpenAlexaffvenueabout
Leslie Solomonian, Bethany Osborne

Bibliographic record

VenueCAND Journal · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsInstitute for Christian StudiesUniversity of TorontoSheridan CollegeCanadian College of Naturopathic Medicine
Fundersnot available
KeywordsAttritionResistance (ecology)NaturopathyPremiseHealth care deliveryAlternative medicineHealth careCapitalizationMedicinePsychologyPolitical scienceLawEpistemology

Abstract

fetched live from OpenAlex

The premise and attrition model of resistance proposed by some in the anti-psychiatry movement are relevant to all subspecialties of medicine. Themes of monopolization, capitalization and marginalization harmfully affect the delivery of health care across all domains and minimize systemic and structural contributors to health and disease. Naturopathic medicine offers promise to effectively support individuals and communities in navigating modern obstacles to good health but may, in practice, be ina vertently reinforcing the dominant paradigm. The attrition model offers guidance for a steady, strategic resistance instead.

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)0.027
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.973
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0270.068
Scholarly communication0.0140.008
Open science0.0060.007
Research integrity0.0080.023
Insufficient payload (model declined to judge)0.0050.000

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 head0.355
GPT teacher head0.510
Teacher spread0.156 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2023
Admission routes3
Has abstractyes

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