Bibliographic record
Abstract
Early in the Great Depression, English and French business leaders in Montreal presided over the reorganization and rationalization of Catholic charities in their communities with the blessing, but not the active participation, of the Church. Thus started a decades-long transition from religious charity to public welfare, from largely volunteer work to professional social work, from charity provided by alms to private assistance financed by centralized, large-scale campaigns. Focusing on the Fédération des Œuvres de charité canadiennes-françaises and the Federation of Catholic Charities, Amélie Bourbeau analyzes organizational records, newspapers, government reports, and personal papers to provide new insights into the history of Catholic charities in Montreal. Far from experiencing a linear development, Bourbeau argues, both francophone and anglophone federations were sites of experimentation and innovation, but also conflict - between volunteers and professionals, laypeople and clergy, traditional charity and modern assistance, and sometimes between the communities and the federations themselves - as they evolved towards their current affiliation with state-run social work. From the Great Depression through to the Quiet Revolution, citizenship, the role of the state, and the meanings of religion and language were all subjects of dramatic debate and change in Quebec. By looking closely at the history of social assistance, Techniciens de l’organisation sociale provides a new vantage point from which to understand these transformations.
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.
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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".