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Record W2089508135 · doi:10.1162/posc_a_00046

The Reinvention of Grand Theories of the Scientific/Scholarly Process

2011· article· en· W2089508135 on OpenAlexaff
Marion Blute, Paul B. Armstrong

Bibliographic record

VenuePerspectives on Science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPositivismEpistemologyPostmodernismNarrativeSociologyLogical positivismSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

In the mid-twentieth century, the reigning understanding of the scientific process, logical positivism, disintegrated. Subsequently, there has been fragmentation in science studies (Hess 1997; Yearley 2005; Sismondo 2008; Restivo and Croissant 2008). Many have emphasized the postmodern theme that general theories or grand narratives are impossible. Despite a profusion of diversity, some sociologists and sociologically-minded philosophers of science continue to produce general theories of the scientific/scholarly process. Through textual analysis and interviews, we studied ten such theories empirically on eleven issues, assessing their compatibility or lack thereof with each other, aiming to determine whether a new general theory is emerging.

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)0.066
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0660.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.007
Science and technology studies0.0090.105
Scholarly communication0.0270.041
Open science0.0040.014
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.371
Teacher spread0.278 · 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.

Study designTheoretical or conceptual
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

Citations9
Published2011
Admission routes1
Has abstractyes

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