Bibliographic record
Abstract
I have purposefully used a narrative approach in my review of Ka‘ili’s (2017) Marking Indigeneity: The Tongan Art of Sociospatial Relations to support my meaning making as a Tongan academic and Pasifika researcher. I considered elements of the text that worked well for me as an early career researcher and that are accessible to Tongan and non-Tongan academics alike. The Oceanian artistic traditions of time (tā) and space (vā) promoted in this book offer a continuation of ancient oral traditions into the contemporary realm of academic literature. In essence, Ka‘ili’s book brings significant understandings of the tā-vā theory into interdisciplinary research spaces and across the global landscape of Pasifika research and academic practice. This is evidenced in the more than 60 Pasifika authors’ citations of Ka‘ili’s book, to date. My recommendation of this book draws upon these facets: the accessibility of the text, the elements of the text, and the global reach of the text.
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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".