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Record W2893799477 · doi:10.5947/jeod.2018.005

The No TAV Entrepreneurs’ Transition towards a Sustainable Solidarity Economy: Pragmatic Analysis of a Social Innovation Process

2018· article· en· W2893799477 on OpenAlexaff
Marina Soubirou

Bibliographic record

VenueJournal of Entrpreneurial and Organizational Diversity · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversité du Québec à Rimouski
FundersAgence Nationale de la Recherche
KeywordsSolidarity economySolidarityTransition (genetics)Process (computing)Economic systemSocial economyPolitical scienceMarket economyEconomicsComputer scienceChemistry

Abstract

fetched live from OpenAlex

Whilst a global transition towards sustainability appears to be a pressing challenge, several surveys have shown that sustainable principles and values seem to emerge on a global scale. Various social movements have laid claim to such a transition. An example of these movements is the No TAV movement in the lower part of the Susa Valley in Italy. Since the 1990s, this area has been the scene of a territorial conflict pitting the local inhabitants against the Italian state on a 54km long railway tunnel project under the Alps. By strongly rejecting this project and collective participation in numerous resistance movements, the Low-Valsusans have gradually become a territorialized community whose members seem to share a set of sustainable principles and values. In our research, we have questioned the impact of this very peculiar context on the local small and medium entrepreneurs, trying to find out if they are sharing the sustainable norms of their community, and whether it influences their activities. Are the Low-Valsusan entrepreneurs currently in transition towards a sustainable solidarity economy? We have been able to portray an ongoing social innovation process in the lower part of the Susa Valley through which these entrepreneurs are gradually getting involved in the implementation of the sustainable principles and values of their community. After the introduction of our transdisciplinary theoretical and methodological framework, this paper will describe this peculiar social innovation process that seems to be currently transforming the Low-Valsusan entrepreneurs' activities.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2018
Admission routes1
Has abstractyes

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