The Theory of Philanthropy of the Alberta Family Wellness Initiative
Bibliographic record
Abstract
This article presents the theory of philanthropy of the Palix Foundation, which seeks to improve health and wellness outcomes for children and families in Alberta, Canada, by mobilizing and applying knowledge about brain and early childhood development and the link to lifelong mental health and addiction outcomes. Through years of intuitive exploration and adaptation, the foundation evolved its role to include brokering access to the latest scientific knowledge, convening key players in multiple forums to explore applying that knowledge, and serving as a learning partner to public systems and communities in Alberta. Following evaluation of a major phase of the foundation’s work, its leaders asked the authors to work with them to address questions emerging from the evaluation relating to the next phase in its development. This led to a concentrated effort to synthesize the foundation’s underlying theory of philanthropy and apply it to those questions. · Articulating the theory of philanthropy helped “make the implicit explicit” and provided a useful way for the foundation to engage with its stakeholders and recalibrate its approach for a new phase of work.
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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".