“The Little Strangers at Our Gate”: Toronto Public Library’s Experimentation with the Settlement House Movement, 1910s–1930s
Bibliographic record
Abstract
This article is a case study of Toronto Public Library’s (TPL) early collaboration with social workers through its participation in the settlement house movement from the 1910s through the 1930s. While the image of the public library as a social equalizer is often attributed to its origins in the free libraries movement, and while the first chairman of its board characterized TPL as a “literary park” for “the rich and poor alike,” historical efforts to extend the public library into social work–like activities remained short-term, ad hoc experiments that failed to generate transformational change. This article presents the challenges faced by a large Canadian urban public library as it attempted to position itself not only as an educational institution but also as a social service. TPL’s activities in settlement neighborhoods reinforced rather than subverted the cultural status quo largely because it had no intentions to make radical program departures.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.089 | 0.049 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".