Bibliographic record
Abstract
This article, which explores a community filmmaking program for youth facing multiple barriers, presents a unique way of reimagining democratic practice through artful community inquiry that foregrounds entanglements of relations and engagements. In an era of constant change, increasing interdependence between local needs and global influences invites us to attend to the complex dynamics of individual and community needs. Community inquiry as a conceptual framework reimagines the community as curriculum—a way of actively engaging with the world. The concept of “transversality” acknowledges that learning is an educative force that disrupts binary forms of logic and layers of hierarchy, allowing us to traverse lines of entanglement when we navigate and negotiate collective engagement in communities. Insights from a youth filmmaking program show how “community as curriculum” and thinking transversally can enhance the vital role of artful community inquiry in promoting democratic practice by connecting learning with lived experience.
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 | 0.023 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".