A political economy of public libraries in immigrant settlement in Ontario, Canada (1945--2011)
Bibliographic record
Abstract
In this era of sustained global migration, national governments are increasingly turning to cities and municipalities to administer immigrant settlement and integration policies. In this regard, there has been increased interest by government and libraries alike in understanding the particular role that public libraries play in providing services to newcomers. From the perspective of political economy, this doctoral dissertation research links the question about the changing role of the library in providing services to new immigrants to the broader historical context of related government policies in immigration and settlement in Canada. Through a critical discourse analysis, the research reveals the ways that national government policies have historically shaped notions of service provision to newcomers with a particular focus on public libraries in the post-war era, defined here as 1945-2011. Preliminary data collection and analysis reveal that while public library understandings of immigrant needs reflected assimilationist attitudes of the early post-war era, professional values and practices shifted over time suggesting a progressively more nuanced understanding of the particular needs of newcomers in settlement and integration. As data collection and analysis proceed, however, this research asks: How does national immigration policy influence public library constitution of and services to immigrants, and to what effect?
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.035 | 0.013 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".