Bibliographic record
Abstract
In June 2015, Saint Paul University announced it had received a CAD$2.5 million donation to create a new school of social innovation.Its mandate was to tackle injustices, fight exclusion and reduce poverty in all its forms: economic precarity, marginalization, food insecurity and so on.This school, the first of its kind in Canada, trains youth, professionals, activists and entrepreneurs to foster the development of innovative solutions, local initiatives, community organizations and social enterprises aimed at making the world better.Beginning in January 2016, a small team of politically engaged professors took on the ambitious challenge of creating a series of academic programs -from bachelors to doctorate -entirely devoted to the emerging field of social innovation.They also established a social innovation workshop, a space of incubation, collaboration and project generation, drawing on models of coworking spaces, innovation labs and other programs to kickstart social enterprises and social organizations.The CAD$2.5 million donation came from the Sisters of Charity of Ottawa.They hoped that providing these funds would pass on the torch, to continue the mission of changing the world, left by their founder, Élisabeth Bruyère.The Mother Superior of the Sisters of Charity of Ottawa did not content herself with good works and philanthropy.Far from it.As she explained to her team one day, "to fight poverty, we need more than charity and a few attempts to alleviate suffering.We need systems change, and social justice."This unusual meeting of tradition and modernity, of the church's social values, activist networks and the world of start-ups, may seem unconventional -but innovations often arise at the intersection of different worlds, generating the unprecedented.This trust bestowed by the Sisters of Charity will not lie barren: it
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.514 | 0.352 |
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".