MétaCan
Menu
Back to cohort
Record W2333051365 · doi:10.1177/0073275314567436

Pavlovianism in China: Politics and differentiation across scientific disciplines in the Maoist era

2015· article· en· W2333051365 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory of Science · 2015
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsYork University
FundersArts and Humanities Research CouncilAcademy of Medical Sciences
KeywordsReactionaryCommunismPoliticsDisciplineChinaBourgeoisieContext (archaeology)OrthodoxySocial scienceSociologyPolitical scienceEpistemologyHistoryLawPhilosophy

Abstract

fetched live from OpenAlex

In the early 1950s, the Chinese communist party promoted a massive Learning-from-the-Soviet-Union Campaign and made Pavlov’s reflexology the political-academic orthodoxy in physiology, medical science and psychology. In the late 1950s, however, while Pavlov’s theory was continuously advocated by physiologists and medical scientists, it suffered a major setback in psychology as Pavlovian psychology was criticized as being bourgeois and reactionary. How was it possible for such sheer contrast across disciplines to take place within a few years? This paper argues that the greater ideologization of Pavlovian psychology was conditioned by a number of factors: the Sino-Soviet relations, the shifting Chinese communist policies, professional practices, local social conditions, disciplinary cultures and discursive performances. This historical reconstruction rejects a homogenizing view of the relation between politics and science in the Maoist China, and demonstrates ways in which historical localities and dynamics ruptured the overarching political context.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
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 head0.058
GPT teacher head0.360
Teacher spread0.302 · 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