Bibliographic record
Abstract
Bio: Jerry P. White PhD, Professor of Sociology, Western University\nJerry White has nearly two decades of research and evaluation experience in the area of Indigenous issues. He is a prolific researcher having published 17 books on Indigenous subjects, multiple books on healthcare delivery and several widely used texts in Sociology. He is currently the Editor in Chief of The International Indigenous Policy Journal, Director of the Aboriginal Policy Research Consortium ( Int) and Director of Indigilink (An Indigenous issues social networking organization).\nOver his career he has engaged in many roles developing and implementing public policy including chairing several provincial commissions as Chair of the Health Professions Regulatory Advisory Council and Board Chair of Museum of Ontario Archaeology.\nAs well Jerry White has nearly three decades of University experience. He has been a Department Chair, Associate Dean (Graduate Studies), Associate Dean (Research), Senior Associate Dean Strategic Planning, Budgets and Intra-University Affairs, Acting Dean of Social Science and Senior Advisor to the Provost. He holds the prestigious Pleva Professorship for excellence awarded by University Senate and has served on the Board of Governors for Western University and Kings University playing a role in leading these Universities.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.652 | 0.465 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".