Sophie Dufour, avocate, MBA et CRHA Fondatrice de SD Standard et confondatrice de l’espace de cotravail Le Bureau – Milieu d’affaires
Bibliographic record
Abstract
Fondatrice de SD Standard et confondatrice de l'espace de cotravail Le Bureau -Milieu d'affaires Avocate spécialisée en droit des affaires depuis 2001, Sophie Dufour est une professionnelle entrepreneuse et accueillante.En 2017, elle a fondé SD Standard, une entreprise dont la mission est de guider, d'accompagner et de soutenir les directions et gestionnaires d'entreprises afin qu'ils puissent faire face aux enjeux de relations de travail de manière confiante, innovante et préventive.En 2018, elle a cofondé, avec Audrey Tremblay, l'espace de cotravail Le Bureau -Milieu d'affaires, situé sur la rue Racine à Chicoutimi, au Québec.Soulignons au passage que mesdames Dufour et Tremblay ont remporté le prix Start-up de l'année au Gala des Dubuc de la Chambre de commerce et d'industrie du Saguenay-Le Fjord en 2020.Bonjour, Madame Dufour, et merci de nous accorder cet entretien pour la revue Organisations & territoires.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.037 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".