Bibliographic record
Abstract
The South Asian Canadian Digital Archive (SACDA), an initiative of the South Asian Studies Institute at the University of the Fraser Valley, is a pan-Canadian digital archive that documents the history and heritage of the South Asian diaspora in Canada.SACDA partners with memory institutions, community organizations, individuals, and families to digitize, describe, and provide online public access to heritage materials created by or relevant to the South Asian Canadian diaspora.SACDA seeks to fill a critically important archival and historical gap in Canadian history.In the context of South Asian Canadian archival materials being rarely available, erased, or neglected, documenting the lived experiences and the cultural heritage of South Asian communities is an urgent preservation priority.SACDA thus facilitates access to inclusive Canadian heritage by collecting, preserving and presenting primary source materials of the South Asian Canadian diaspora's 120+ years of history.With extensive community engagement and a focus on social histories, with collaborative tools as praxis, SACDA seeks not only to fill historical gaps but also to transform existing colonial knowledge infrastructures and to foster knowledge diversity and equity.SACDA emphasizes the cultures of orality, tacit knowledge, and visual histories, and has created a thesaurus to rupture conventional controlled vocabularies.At the core of its praxis, SACDA seeks to actively involve the community in archival processing and holds community sessions to collect metadata in South Asian languages and vernaculars.Thus, knowledge, from creation to sharing, becomes a community-driven project that informs and is informed by our collective histories.Reviews in Digital Humanities • Vol. 4, No. 12 Review: South Asian Canadian Digital Archive 3 SACDA currently consists of 50 collections with over 15,000 items and three online exhibits.These collections and exhibits speak to the histories, cultures, and key contributions of South Asian communities in Canada that range from immigration and social histories, arts and culture, and labor history and activism to built environment histories.The materials available are multilingual and reflect the linguistic diversity of the South Asian region.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.011 | 0.018 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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".