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Record W2005352760 · doi:10.1353/his.0.0082

Practising Medicine and Spiritualism in the 1860s: Sacred Encounters of Drs. Moses Colby and Susan Kilborn as "Lived Religion"

2009· article· fr· W2005352760 on OpenAlexvenueaboutno aff
Marguerite Van Die

Bibliographic record

VenueHistoire sociale · 2009
Typearticle
Languagefr
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualismPopularityReligious studiesAestheticsLived experienceSociologyArtPhilosophyPsychoanalysisPsychologyMedicineSocial psychologyAlternative medicine

Abstract

fetched live from OpenAlex

Le spiritisme n'avait rien d'inusité au XIX e siècle, une époque de turbulences sociales intellectuelles où les vieilles croyances étaient contestées et les nouvelles orthodoxies n'avaient pas vu le jour. Pour ses praticiens du XIX e siècle, le spiritisme était à la fois une religion et une science. Tandis que les théories concurrentes sur la nature de la maladie et du corps opposaient les médecins orthodoxes aux praticiens « irréguliers », la popularité des « médiums médicaux » faisait du spiritisme un facteur de déstabilisation non seulement de la religion, mais également de la médecine. Vue par le prisme de la « religion vécue », la collaboration non conventionnelle qu'entretenaient la D re Susan Kilborn et le D r Moses Colby, son défunt mentor, par l'entremise d'un médium en spiritisme révèle comment les scientifiques protestants pouvaient ressentir la présence du sacré par l'esprit et le corps. Non seulement par son étrangeté, mais également par son caractère ordinaire d'expérience vécue, cette étude de cas présente à la fois un problème et une occasion d'aller plus loin dans la quête perpétuelle de repenser l'histoire de la religion au Canada.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.050
Scholarly communication0.0070.005
Open science0.0010.007
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.288
Teacher spread0.257 · 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 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
Published2009
Admission routes2
Has abstractyes

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