The Canadian Linked Data Initiative: Charting a Path to a Linked Data Future
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
This article is a preliminary report on the work of the Canadian Linked Data Initiative (CLDI), a collaboration between five of Canada’s largest research libraries, Library and Archives Canada, Bibliothèque et Archives nationales du Québec, and Canadiana.org. Although still in its nascent stage, participating institutions are working together to advance the technical services divisions of our libraries in the area of linked data. Project working groups are making progress in five main areas: grant funding, digital collections, education and training, legacy metadata enhancement, and in the evaluation and adaptation of Bibliographic Framework Transition Initiative tools. By working across geographic and institutional boundaries, the CLDI aims to chart a path to a new age of technical services, one based on the foundation of Linked Open Data.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.012 | 0.027 |
| Open science | 0.029 | 0.007 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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