Professional Decline and Resistance: The Case of Library and Archives Canada
Bibliographic record
Abstract
In 2004, Canada was the first country in the world to amalgamate its two main documentary heritage institutions, the National Archives of Canada (established in 1872) and the National Library of Canada (established in 1953) into one "modernized" institution: Library and Archives Canada (LAC). The "modernization" policy has commercialized and reduced services, collections, and collaboration while simultaneously deprofessionalizing and casualizing the work of professionals. Resistance to modernization has come from many stakeholders across Canada but the responses by the Canadian Association of University Teachers (CAUT) and the Canadian Library Association (CLA) are particularly salient. Both are national organizations concerned with access to information and Canada’s documentary heritage. The case of LAC demonstrates how a neoliberal remaking of one prominent, national institution can weaken entire professions.
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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 | 0.017 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.142 | 0.050 |
| Scholarly communication | 0.029 | 0.009 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.017 | 0.028 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".