Learning for Life: The People’s Free University and the Civil Commons
Bibliographic record
Abstract
This article stems from the author’s experience as one of the organizers of an alternative form of higher education, which drew its inspiration from the civil commons. In the early years of the new millennium, the People’s Free University of Saskatchewan (PFU) offered a wide variety of courses to members of the public without charge, adopting as its founding principle the belief that “Everyone can learn, Everyone can teach.” As a form of community-based education, the PFU accommodated the needs and aspirations of a diversity of individuals and groups too often denied by “research-intensive” universities. The civil commons itself is a web of interlocking institutions based on the life-code of value, which strengthens the public interest and enhances the growth of organic life. Unlike the money-code of value, whose goods are only available to those who can pay, the goods of the civil commons are accessible to all. This inner logic enables a full realization of life value as exemplified in the living tradition of popular university education.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.072 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".