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Record W3036285700 · doi:10.1111/apce.12279

Institutional and organizational trajectories in social economy enterprises: Resilience, transformation and regeneration

2020· article· en· W3036285700 on OpenAlex
Ignacio Bretos, Marie J. Bouchard, Alberto Zevi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Public and Cooperative Economics · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsResilience (materials science)Field (mathematics)Context (archaeology)Psychological resilienceRegeneration (biology)Corporate governanceOrganizational fieldDegeneration (medical)Organizational changePublic relationsBusinessSociologyEconomic systemPolitical scienceInstitutional theoryManagementEconomicsSocial sciencePsychology

Abstract

fetched live from OpenAlex

Abstract Social economy enterprises (SEEs) are arousing notable interest as promising alternatives where social innovation, business ownership and governance are concerned. In this context, a renewed debate about the internal changes and organizational trajectories experienced by these organizations has emerged in the scholarly literature. This special issue aims to contribute to ongoing debates in this field by advancing our understanding of the external pressures and internal dynamics that can trigger degeneration in SEEs, the conditions and factors that allow SEEs preserving their hallmark values and practices, and the resources and processes of organizational change that SEEs can deploy to overcome degeneration and regenerate. In this editorial introduction we introduce the topic of research, describe the content of the current special issue, and highlight some conclusions and possible directions for future research.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.238
Teacher spread0.187 · 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