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Record W2253118082 · doi:10.1177/1056492608328234

Raging Against or With the Private Marketplace?

2008· article· en· W2253118082 on OpenAlexaff
Matthew M. Mars, Michael Lounsbury

Bibliographic record

VenueJournal of Management Inquiry · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
Fundersnot available
KeywordsCountermovementSkepticismIdeologyAction (physics)Collective actionPolitical economySociologyVariety (cybernetics)Resistance (ecology)Diversity (politics)Public relationsPolitical scienceLaw and economicsEconomicsLawPoliticsEpistemology

Abstract

fetched live from OpenAlex

The rise of market logics and the spread of neoliberal policies over the past couple of decades have led to resistance and countermobilization efforts by a variety of activists and concerned citizens—recall the vivid 1999 World Trade Organization (WTO) protests in Seattle. However, contemporary modernity is more complicated than such simple movement—countermovement imageries, and instead of witnessing a leveling of previous institutional configurations with new market-oriented ones, the blending or coexistence of multiple competing and/or complementary logics has become de rigeuer. Hence, in some cases, market logics can provide a foundation for action that supports the arguments and interests of those who stand opposed on principle to market creep. Highlighting how the environmental movement has come to embrace the market as well as activism via an exploration of student eco-entrepreneurship in university settings, we argue that both researchers and skeptics need to go beyond ideological commitments to appreciate the complicated diversity of action and empirical reality that exists at the interface of business and 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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.047
Scholarly communication0.0280.044
Open science0.0010.008
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0240.003

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 head0.031
GPT teacher head0.223
Teacher spread0.192 · 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 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

Citations121
Published2008
Admission routes1
Has abstractyes

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