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Record W2197801259 · doi:10.29173/cjs26071

Who Now Needs Sociology?: Transdisciplinarity Vs. Tradition

2016· article· en· W2197801259 on OpenAlexafffundvenueabout
Dalibor Mišina

Bibliographic record

VenueThe Canadian Journal of Sociology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsLakehead University
FundersInnovation, Science and Economic Development Canada
KeywordsSociologyTransdisciplinarityReflexivityArgument (complex analysis)EpistemologyDisciplineSociology of knowledgeHistorical sociologyRelevance (law)PoliticsSocial scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The aim of the paper is to review the current Canadian debate about the future of sociology, centered on two sets of claims: William Carroll’s vision for a transdisciplinary future of the social science and humanities (i.e. the transdisciplinarity argument) (Carroll 2013); and Antony J. Puddephatt & Neil McLaughlin’s counter-vision for a sociology bound by its traditional disciplinary boundaries (i.e. the traditionalism argument) (Puddephatt and McLaughlin 2015). The paper provides an analysis of the debate in question and argues that Carroll’s and Puddephatt & Neil McLaughlin’s reflexive diagnostics regarding the future of sociology offer two distinct, and competing, understandings of the discipline’s nature, purpose and relevance, as well as two different sensibilities regarding an audience the discipline of sociology is, or ought to be, speaking to. In addition, an argument put forth is that Carroll’s public-political and Puddephatt & McLaughlin’s professional-organizational models of sociology have important implications both for mapping out the future trajectories of the discipline, and for gauging sociology’s role and position within, and relationship to, the ‘universe’ of society.

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)0.014
metaresearch head score (Gemma)0.010
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 score0.989
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0110.067
Scholarly communication0.0160.024
Open science0.0020.008
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.071
GPT teacher head0.319
Teacher spread0.248 · 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

Citations4
Published2016
Admission routes4
Has abstractyes

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