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Record W4311521004 · doi:10.1111/apce.12321

Le rôle grandissant et la diversité des formes de communs pour la production et la préservation des biens et services essentiels

2022· article· fr· W4311521004 on OpenAlexaboutno aff
Philippe Bance, Jérôme Schoenmaeckers

Bibliographic record

VenueAnnals of Public and Cooperative Economics · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCommonsPolitical sciencePublic goodWelfare economicsHumanitiesEconomicsLawArt

Abstract

fetched live from OpenAlex

The theme of the commons is meeting a growing interest in the economics and management literature as well as other disciplines such as sociology and philosophy (Dardot & Laval, 2014, for example).This interest can be explained by theoretical advances but also by the development of multifaceted practices that aim not only to initiate new forms of governance but also the deployment of activities making it possible to offer open and shared access to common goods.With its long tradition of studying organizations and forms of governance serving the collective interest in the field of public economy and social economy, CIRIEC is part of this process of promoting theoretical and practices advances that can contribute to a beneficial deployment of the commons and public goods.A book on the joint production of public goods and commons (CIRIEC, Bance, 2018), and the CIRIEC research conference on social economy held in Bucharest in 2019 conducted recently such analyses.This special issue of APCE is a continuation of this research by focusing in particular on the question of the variety of commons dedicated to open and shared access to essential goods and services. THE GROWING IMPORTANCE OF THE TOPIC OF THE COMMONSAccording to Coriat (2020), the SARS-Cov2 pandemic is not just any pandemic, a rare event in the image of the famous "black swan" or those crises which, as we are told, only occur once a century.On the contrary, it confirms that we are entering a new era, the Anthropocene, in which health crises and climate change will become part of the daily life of humanity.

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)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.011
Scholarly communication0.0110.012
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.073
GPT teacher head0.334
Teacher spread0.261 · 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
GenreOther

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

Citations2
Published2022
Admission routes1
Has abstractyes

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