Shortcomings of Bibliographic Description in Service of Indigenous Peoples in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The marginalization of Indigenous Peoples in library catalogues and cataloguing standards is well documented. This article looks beyond Library of Congress Classification to analyze how the marginalization of Indigenous Peoples manifests in Machine Readable Cataloguing (MARC) and online public access catalogs (OPACs) to the detriment of Indigenous users. The rules that govern bibliographic description either obscure the presence of materials in a collection that represent Indigenous worldviews, or do not have the capacity to accurately record demographic terms related to Indigenous Peoples. This leads to inaccurate access points and culturally inappropriate metadata. Examples of projects and institutions innovating in this domain are examined. The harms cataloguers enact through adherence to bibliographic standards deserve critical and ethical analysis. These analyses and innovative projects are first steps towards better serving Indigenous users and reconciliation in libraries in Canada.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.011 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it