Les perceptions du personnel professionnel quant au leadership des supérieurs immédiats en contexte de travail hybride
Bibliographic record
Abstract
« Le mode de travail hybride, qui réfère au partage du temps de travail entre la présence au bureau et le télétravail, s'est largement diffusé depuis la pandémie. Cette façon de travailler change aussi la manière de diriger les équipes. Ce mémoire cherche à examiner les perceptions des professionnels du secteur public quant au leadership inclusif de leur supérieur, en contexte de travail hybride. Pour ce faire, le mémoire privilégie une démarche de recherche quantitative et la méthode de collecte des données repose sur un questionnaire en ligne acheminé aux professionnels du gouvernement du Québec. Les réponses ont permis de dégager leurs perceptions du leadership inclusif de leur supérieur et d'examiner ces perceptions selon les modalités de travail hybride déployées dans leur organisation. Les résultats montrent que les perceptions du leadership inclusif qu'ont les employés à l'égard de leur supérieur sont généralement positives et qu'elles varient peu selon les modalités de télétravail déployées. -- Mot(s) clé(s) en français : leadership inclusif, travail hybride, télétravail, gestion, inclusion, diversité. »-- « Hybrid working, which refers to the division of working time between being in the office and telecommuting, has become widespread since the pandemic. This way of working is also changing the way teams are managed. This dissertation seeks to examine the perceptions of public sector professionals regarding the inclusive leadership of their superiors in a hybrid work context. To this end, the dissertation favors a quantitative research approach, and the data collection method is based on an online questionnaire sent to professionals in the Quebec government. Responses were used to identify their perceptions of their supervisor's inclusive leadership, and to examine these perceptions according to the hybrid work arrangements deployed in their organization. The results show that employees' perceptions of their superior's inclusive leadership are generally positive, and vary little according to the telework modalities deployed. -- Mot(s) clé(s) en anglais : inclusive leadership, hybrid work, telework, management, inclusion, diversity. »--
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".