South Asian Canadian Digital Archive Thesaurus
Bibliographic record
Abstract
The South Asian Canadian Digital Archive (SACDA) is a soon-to-be-released digital repository developed by the South Asian Studies Institute at the University of the Fraser Valley, located in Abbotsford, British Columbia, Canada. SACDA partners with memory institutions, individuals, families, and organizations to digitize, describe, and provide online public access to heritage materials created by, or relevant to, the South Asian Canadian diaspora. This project report will detail how SACDA is building a customized thesaurus to classify its digitized archival holdings, augment existing subject headings and thesauri, and fill in taxonomical gaps. Building on prior work done by alternative thesauri like the Homosaurus, Association for Manitoba Archives Indigenous Subject Headings, Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS) Thesauri, and the International Thesaurus of Refugee Terminology, among others, the SACDA thesaurus intends to fill in a vital gap in South Asian Studies subject control, particularly from a Canadian perspective.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.023 | 0.041 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".