MétaCan
Menu
← Back to cohort
Record W1867737302 · doi:10.1017/mdh.2015.24

Skills through History

2015· editorial· en· W1867737302 on OpenAlexafffund
Nicholas Whitfield, Thomas Schlich

Bibliographic record

VenueMedical History · 2015
Typeeditorial
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMcGill University
FundersUniversity of TorontoStrong
KeywordsComputer scienceContent (measure theory)World Wide WebMultimediaAction (physics)Information retrieval

Abstract

fetched live from OpenAlex

Few historians would deny that skills are at the heart of modern medicine.Yet skill can prove troublesome to define.The content of what counts as a medical skill ranges widely across different dimensions of the body and self, as through places, disciplines and phases of history.From the physician's touch in physical examination to the discriminating eye of the histologist, from empathy in nursing to precision in surgery: all suppose and reproduce a skilled practitioner.Despite or perhaps because of their abundance, skills have appeared too easily as a self-evident feature of medical history.Their ubiquity and the wide spectrum of concepts they assimilate have obstructed efforts to historicise them, or to explore the wider implications of their transience.Impossible to deny and yet notoriously hard to define, skills in medical history are everywhere and nowhere at once, persistent through its sources and yet rare as organising principles of its scholarship. 1 The object of this volume is to address that asymmetry, and begin unsettling the self-evidence of skills by drawing them into critical focus.This brief introduction sets out to foreground existing work in the history of medical and scientific skill, and to emphasise the richness of the topic.Our claim, however, is not that skills have been absent in medical historiography.On the contrary, they arise again and again, and often in ways that are consistent with the perspective advocated here.Historians have asked how the evaluation of skills was closely bound up with professional aims, for instance, or how new diagnostic methods invented and relied on new skills. 2They have described how skills were transmitted through pedagogical practices 3 and how medical specialisation was connected (or not) to the proliferation of medical skillsets. 4Despite these efforts, the category of skill itself is still easily taken for granted.A closer examination promises to cast light on the varied and refined practices that skills include, and to strengthen the connections of medical history to other fields, such as the history of observation, objectivity, emotions and the senses.Although the focus of this special issue will be on the last two centuries, work on skill is of course not restricted to this period.Obvious fields for examining its history are surgery and anatomy, both of which underwent regime changes in the Middle Ages and 1 Lorraine Daston, 'On Scientific Observation ', Isis, 99, 1 (2008), 97-110. 2 Malcolm Nicolson, 'The introduction of percussion and stethoscopy to early nineteenth-century Edinburgh', in William F.

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)0.017
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0040.012
Scholarly communication0.0080.008
Open science0.0020.003
Research integrity0.0070.017
Insufficient payload (model declined to judge)0.0050.002

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 head0.038
GPT teacher head0.356
Teacher spread0.318 · 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
GenreEditorial

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

Citations6
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueMedical History→Same topicHistorical Psychiatry and Medical Practices→French-language works237,207→