As sunflowers face the sun: exploring the experiences of Black and Indigenous women educational leaders
Bibliographic record
Abstract
Currently, the field of educational leadership continues to exclude the crucial voices of historically marginalized school administrators. As such, this study sought to learn more about the experiences of Black and Indigenous women educational leaders. To contribute to the scant literature available the authors ethically and intentionally recruited participants who self-identified as women, Black, Indigenous or Afro-Indigenous. The data collection for this qualitative study included individual interviews with 15 participants that were then analyzed and coded on NVivo in accordance with Black feminist thought, Indigenous feminisms critical race theory in education, specifically, the tenets of intersectionality and counter-storytelling. Findings from the study suggest that Black and Indigenous women school administrators have much in common in their approach to leadership. For instance, the collective ways in which they engage in the world, and how they define healing and their collective need for it. Finally, this study serves as an opening space for Black and Indigenous women school leaders not only share their lived experiences, but to address cross-identity solidarity that is specific to Black and Indigenous peoples.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".