A McMaster retrospective: how publishing in a student journal shaped my career
Bibliographic record
Abstract
Alan G. Morris is Professor in the Department of Human Biology at the University of Cape Town. A Canadian by birth and upbringing, Professor Morris is also a naturalised South African. He has an undergraduate degree in Biology from Wilfrid Laurier University in Waterloo Ontario, and a PhD in Anatomy from the University of the Witwatersrand in Johannesburg. Professor Morris has published extensively on the origin of anatomically modern humans, and the Later Stone Age, Iron Age and Historic populations of Kenya, Malawi, Namibia and South Africa. In more recent years he has extended his skeletal biology knowledge to the field of forensic anthropology. Professor Morris’ book ‘Missing and Murdered’ was the winner of the WW Howells Prize for 2013 from the American Anthropological Association. He has an additional interest in South African history and has published on the history of race classification, the history of physical anthropology in South Africa and on the Canadian involvement in the Anglo-Boer War. Professor Morris was selected as a visiting Fulbright Scholar in 2012-2013 and spent 9 months at The Ohio State University where he worked with American scholars on the ‘Global History of Health’ project. He is a council member of the Van Riebeeck Society for the Publication of Southern African Historical Documents, an associate editor of the South African Journal of Science and an elected member of the Academy of Science of South Africa.
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 | 0.014 | 0.112 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.036 | 0.015 |
| Scholarly communication | 0.029 | 0.012 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.040 | 0.010 |
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".