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Record W2905177135 · doi:10.1177/0007650318816468

Institutional-Political Scenarios for Anthropocene Society

2018· article· en· W2905177135 on OpenAlexaff
Andrew J. Hoffman, P. Devereaux Jennings

Bibliographic record

VenueBusiness & Society · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnthropoceneSustainabilityEnvironmental ethicsPoliticsEnlightenmentSociologyEarth system scienceNatural (archaeology)Social sciencePolitical scienceEpistemologyEcologyHistoryArchaeologyLawPhilosophy

Abstract

fetched live from OpenAlex

Natural scientists have proposed that humankind has entered a new geologic epoch. Termed the “Anthropocene,” this new reality revolves around the central role of human activity in multiple Earth ecosystems. That challenge requires a rethinking of social science explanations of organization and environment relationships. In this article, we discuss the need to politicize institutional theory as a means understanding “Anthropocene Society,” and in turn what that resultant society means for the Anthropocene in the natural environment. We modify the constitutive elements of institutional orders and a set of main change mechanisms to explore three scenarios around which future Anthropocene Societies might be built—Collapsing Systems, Market Rules, and Cultural Re-Enlightenment. Simultaneously, we use observations from the Anthropocene to expose limitations in present institutional theory and propose extensions to remedy them. Overall, this article challenges organizational scholars to consider a new paradigm under which research in environmental sustainability and social sustainability takes place.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.007
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.022
Scholarly communication0.0070.008
Open science0.0010.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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

Citations53
Published2018
Admission routes1
Has abstractyes

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