Bibliographic record
Abstract
As an emerging Indigenous scholar completing a mainstream doctoral program, I was immediately drawn to the work of Marie Battiste. Her work inspires my commitment to approach my degree as a decolonizing journey that nourishes my own learning spirit. Battiste (1998) captures the paradox of mainstream education as it is experienced by Aboriginal students. As she pointed out while Aboriginal students are looking to liberate themselves and their communities through education, they are faced with a strenuous curriculum that does not “mirror” them. As a result, students experience a “fragmented existence” (p. 24). This has indeed been my experience. Her recent book, Decolonizing Education: Nourishing the Learning Spirit expresses the tensions Indigenous learners face in all levels of mainstream education. These are the very tensions I personally experienced throughout the entirety of my educational experience as I have attempted to secure my own space and sense of place as a student and now aspiring professor.
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 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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.043 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.022 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".