Bibliographic record
Abstract
The present study sought to examine the life-career experiences of women in senior corporate leadership with a specific focus on career coping. This study was in response to gender discrepancy in executive leadership and focused on the minority of women who have attained high-ranking corporate positions. Using a qualitative approach to data collection, in-depth interviews were conducted with fifteen senior female leaders in Toronto, Canada. The goal of the study was to gain insight into their lived experience including their perspectives on career advancement and progression. A qualitative approach consistent with constructivist grounded theory yielded rich narratives and personal reflections that formulated underlying themes based on principles of theoretical sufficiency. The findings of data analysis validated a multidimensional approach to career navigation based on a combination of psychological, behavioural and contextual factors. The model presented in this study, illustrates each of these components on a “Career Triflex,” or a triangle, as means of highlighting the process of continually traversing between psychological, behavioural and contextual factors at various points throughout one’s career. Importantly, contained within each point on the “Career Triflex” were various career supportive items as endorsed by high ranking female executives. The psychological and behavioural components described action-oriented concepts that were directly applicable and within their locus of control. Meanwhile, the contextual component considered the role that organizations, stakeholders and/or other individuals play in supporting gender parity. This study provides nuanced conceptualizations and perspectives towards a greater understanding of how participants navigated their careers and coped with difficulty and challenge. This research addresses the lack of female representation within career theory and career counselling literature and presents a model of career coping as endorsed by a niche population of women in corporate business.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".