Leadership and Diversity in the Canadian Forces: A Conceptual Model and Research Agenda
Bibliographic record
Abstract
This report presents a conceptual model and a research agenda regarding leadership and diversity issues as they pertain to the Canadian Forces (CF). The report presents the following: background information and definitions; the benefits of organizational diversity; current Canadian employment equity legislation, including how it applies to the CF; statistics pertaining to the degree of diversity in the CF; and a conceptual model of diversity dynamics in organizations, which is used as a framework to review the research on diversity issues in leadership. Specific issues that the report discusses include tokenism, job-holder schemas, occupational segregation, negative stereotyping, prejudice and discrimination, organizational culture, cultural adaptation and acculturation, ingroup/outgroup dynamics, and stressors and the negative outcomes that result from them. The authors also present possible interventions that can be utilized to alleviate the problems that arise from diversity issues, strategies for integrating diversity into the military, and specific suggestions for a research agenda on leadership and diversity in the CF. Examples of the application of the research results to leadership in the CF are provided throughout the report.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".