Bibliographic record
Abstract
This is an inspiring book written by Indigenous women scholars from across Canada, the United States, and New Zealand who have successfully challenged mainstream education to secure the highest academic credentials institutions of higher learning can offer.While engaged in years of study, they have maintained a profound interest in Aboriginal thought and perspectives.In this volume, they explore leadership concepts appropriate to building strong Aboriginal communities.They embrace primary sources in their research as they engage our peoplegrandmothers, parents, Elders, youth, and even former gang members whose stories and experiences have shown that leadership is unbound.Leadership, they demonstrate, is not the purview of the educated or the elected.It is a time-honoured belief among Indigenous peoples that each person is born with innate strengths that can assist in the overall betterment of the community.The influence of Western thought has led us away from this concept.The research in this publication encourages us to rethink leadership, to give thought to the original philosophies and practices of our people and to give voice to these invisible leaders.This is a unique publication in that the authors are mothers, grandmothers, and single women of all ages who are Choctaw-Haida, Māori, Cree, Anishinaabe, Tlingit-Haida, Mi'kmaq, Stó:lō, Paiute-Shosone, Opata and Tarahumara, Yakama, and Métis.They are employed in various fields that include education, health, social justice, and ethnic studies, either in the community at large or as professors and doctoral students at major universities.Although they represent diverse nations, they and their stories also exemplify the many commonalities of history, tradition, and cultural values shared by Indigenous people.An awareness of this reality leads to the knowledge that building strong communities can be a collective effort.These women are leading the way.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.669 | 0.584 |
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".