Le changement diversité comme réalité organisationnelle au Québec : étude exploratoire sur les déclencheurs et les particularités
Bibliographic record
Abstract
Diversity management has become increasingly important. It refers to a set of activities designed to respond effectively to a diverse workforce, involving both the fight against discrimination and the valorization of differences as well as the unification of a diverse collective. Reflecting a demographic, sociological, and ideological reality, the consideration of diversity in organizations leads to a rethinking of certain managerial practices and entails fundamental transformations of the organization which leads to it being considered as a change in itself. If each organizational change seems different from the others, the consideration of diversity in organizations is no exception. It is described as a unique case of organizational change, whose process is both complex and dynamic, and is also described as permanent, non-linear, and multi-level. The objective of this exploratory research is to understand the approaches to change related to diversity taken by some organizations in Québec. This qualitative research is based on a sample of nine cases. The data collected from diversity consultants was analyzed with the Nvivo software. This research made it possible to identify a set of triggers for diversity change (i.e. internal and external environmental factors of an ethical, strategic, and legal nature) while emphasizing certain distinctive elements of this particular change (i.e. nature of the change processes and the logic of imposition). A discussion is presented on the relevance of a mixed change that reflects a dynamic and complex aspect instead of a static and linear approach. It shows a co-construction approach that underpins a cultural and global change consisting of an accumulation of micro-changes taking place at a rather slow pace.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".