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History as Postmodern? Revisiting the Debate Across Historical Organization Studies

2020· article· en· W3045514049 on OpenAlexaff
Nicholous M. Deal, Ellen Shaffner, Albert J. Mills

Bibliographic record

VenueAcademy of Management Proceedings · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement Theory and Practice
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsPostmodernismEthosSociologyEnvironmental ethicsOrganization studiesEpistemologySocial sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Efforts to enact a ‘turn’ to an historically-informed ethos in management and organization studies have resulted in a proliferation of research across multiple scholarly communities. This is paralleled by an age-old philosophical divide of differing approaches to historical research. The reorientationalist agenda of the historic turn has led to sharp debate between seemingly divergent communities of history researchers. Controversy of its supposed philosophy, namely postmodernism, has caused the ire of some and celebration of others within the broad church of historical research on business and organizations. This paper seeks to destabilize the characterization of the historic turn as being wholly taken up by postmodernism by historicizing the conditions of its possibility. Throughout the process we unravel the constituent elements of the popularized historic turn and attempt to make sense of its ethic as a vehicle of critique.

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)0.029
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.005
Science and technology studies0.0090.108
Scholarly communication0.0240.032
Open science0.0030.007
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.282
Teacher spread0.220 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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