Frankenstein’s Journal: Introducing the Reanimated University of Western Ontario Journal of Anthropology
Bibliographic record
Abstract
This special issue of The University of Western Ontario Journal of Anthropology (UWOJA) serves to relaunch the journal after a prolonged hiatus. UWOJA (formerly TOTEM) published its first volume in 1994 and in its life, has endeavored to publish exceptional pieces of creative and original research by undergraduate and graduate students in all four subfields of anthropology. Despite UWOJA’s interruption in publication (2016-2023), the journal has had a considerable impact, especially for a student-led journal, receiving nearly 600 citations across 151 articles and becoming one of the most-consulted resources on Scholarship@Western. As of January 2023, articles from UWOJA have received over 35 thousand downloads. In addition to its contributions to anthropological knowledge, UWOJA has provided opportunities for many undergraduate and graduate students to participate in the peer-review and journal publication processes. In this issue, UWOJA’s new Editorial Committee intends to highlight the collective effort of previous authors, reviewers, editors, and organizational committees by republishing a selection of the most highly cited, or currently relevant, articles from the journal’s nearly 30-year history and discussing the impact these opportunities have had on the authors’ careers. Just as Frankenstein’s creature was brought to life using a collection of repurposed parts, this issue reanimates UWOJA by compiling highlights from its past.
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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".