Intergenerational Indigenous Resilience and Navigating Academic Administration
Bibliographic record
Abstract
The author has been asked a number of times about how she arrived at the role of an academic administrative leader in postsecondary education. Queries and interviews on questions such as these have provided her with an opportunity to reflect on her path into academic administration and to think more deeply about her own values and understandings about academic leadership. This chapter provides critical reflections of her experiences, understandings, and knowings from an Indigenous women's leadership lens and provides a perspective on navigating academic administration in the postsecondary environment. She intentionally weaves personal narratives as well as relevant literature to discuss the challenges and successes of navigating academic administration as an Indigenous woman. She does this because of the nature of this book and also because women in academia continue to be oppressed. Importantly, she situates the importance of staying true to core values and her own Indigeneity drawing on her own intergenerational resilience.
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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 | 0.000 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".