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Record W4281659146 · doi:10.1522/revueot.v31n1.1447

Pouvoir d’influence des organisations d’un écosystème entrepreneurial : étude de cas de trois associations québécoises et leçons à tirer pour une initiative africaine

2022· article· fr· W4281659146 on OpenAlexaffvenueabout
Jessica J. Roland

Bibliographic record

VenueRevue Organisations & territoires · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesContext (archaeology)GeographyPhilosophy

Abstract

fetched live from OpenAlex

L’invisibilisation de PME ou de TPE dans une économie mondialisée est un frein à la prospérité deces dernières. Plusieurs entrepreneures propriétaires n’ont pas les réseaux leur permettant d’influencer le contexte dans lequel elles évoluent. Cela entraîne une certaine précarité de leurs entreprises et par ricochet de leur propre situation économique. Nous faisons la démonstration par des exemples québécois qu’un cercle d’influence par la création d’un réseau d’associations d’entrepreneures, saurait rendre ces dernières visibles ainsi que leurs entreprises. Nous nous appuyons sur le potentiel d’agentivité des discours dans une approche de communication constitutive des organisations. The invisibilization of SMEs or VSEs in a globalized economy refrains their prosperity. Many women entrepreneurs do not have the networks to influence the context in which they operate. This leads to a certain precariousness of their businesses and, by extension, of their own economic situation. We demonstrate through examples from Quebec (Canada), that a circle of influence through the network of association for women entrepreneurs could make them and their businesses visible. We rely on the potential for agency of discourses under the communicative constitution of organizations approach.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.006
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.028
GPT teacher head0.283
Teacher spread0.254 · 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 designQualitative
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

Citations1
Published2022
Admission routes3
Has abstractyes

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