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Record W2559322712 · doi:10.3138/cbmh.153-02022015

The Rise of Massage and Medical Gymnastics in London and Paris before the First World War

2016· article· en· W2559322712 on OpenAlexvenueno aff
Grégory Quin

Bibliographic record

VenueCanadian Journal of Health History · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsnot available
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsMassageInstitutionalisationFirst world warPeriod (music)Political scienceMedicineMedical educationPhysical therapyHistoryAlternative medicineArtLawAncient historyAesthetics

Abstract

fetched live from OpenAlex

Massage and medical gymnastics experienced a rapid institutionalization across Europe and North America between 1850 and 1914. This article explores how this process took place in London and Paris. Physiotherapy developed many of the hallmarks of an independent discipline during this period, including an identified corpus of manipulations and exercises, some autonomous training courses and degrees for future practitioners, and even the creation of departments within several hospitals. The article analyzes all of the processes surrounding this rise, paying special attention to the influence of the ambassadors of Swedish gymnastics (which led to the re-invention of massage across Europe), to the installation of physiotherapy in hospitals in London and in Paris, and to the practical and institutional innovations driven by nurses in England and by doctors in France.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.273
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.024
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.020
GPT teacher head0.214
Teacher spread0.194 · 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 designNot applicable
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

Citations5
Published2016
Admission routes1
Has abstractyes

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