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Record W1982075650 · doi:10.7202/1015791ar

Pain in Medieval and Modern Contexts

2013· article· en· W1982075650 on OpenAlexvenueno aff
Donna Trembinski

Bibliographic record

VenueJournal of the Canadian Historical Association · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyExtant taxonDualismSadnessMiddle AgesWork (physics)ClassicsPhilosophyTheologyPsychologyHistorySocial psychology

Abstract

fetched live from OpenAlex

Intellectual historians of the High Middle Ages have generally argued that scholastic medicine had little influence on the study of theology in medieval universities, especially in the thirteenth century. Yet three chairs of theology at the University of Paris in the early 1200s had previous careers as physicians. Their extant work suggests that they did turn to their medical roots to explicate theological problems, sometimes rarely, as in the work of Guerric of St. Quentin, but sometimes more often as in the work of Roland of Cremona. Indeed Roland’s work on human and divine emotions, including his discussions of sadness and pain, demonstrates that Roland was dedicated to integrating his medical learning into his theological arguments and to ensuring that the positions of his medical training were in agreement with the theological arguments he made. A short conclusion suggests historiographical reasons for why the medical influence on early Parisian theological treatises has generally been overlooked, pointing to the separate nature of study of mind and body that has occurred since the rise of Cartesian dualism in the seventeenth century.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.182
Teacher spread0.167 · 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 teacher head, 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

Citations6
Published2013
Admission routes1
Has abstractyes

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