Gender and organization: On the underrrepresentation of Acadian and Francophone women of New Brunswick in decision-makings positions and the strive for change
Bibliographic record
Abstract
While it is of common thought in New Brunswick (Canada) that gender equality has been achieved, Acadian and French-speaking women living in this province are systematically underrepresented in leadership roles within their community. Indeed, women are left behind in terms of professional advancement in every social spheres, such as the political, judicial and private enterprises’ spheres, in spite of numerous organized fights and different governmental and private initiatives for gender change. \nThe present research investigates the causes of underrepresentation of Acadian and French-speaking women of New Brunswick in decision-making positions from the perspective of Acadian people’s strive for autonomy and gendered organizational processes. It is argued that in order to tackle the issue, it is fundamental to take into consideration formal and informal, individual and systemic, and most importantly the deep structures of a given society that result in women’s inequality in power structures. \nGrounded on extensive background research in matters of gender organizational studies and Acadian studies, nine Acadian or French-speaking women that hold leadership positions within their community were also interviewed in order to extract and illustrate the different causes for the problem at stake and to help identify potential change agents. It is intended mainly to women’s organizations that aim at providing support to gender change agents enrolled in organizational structures.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".