CONFIDENT HEALTHY ACTIVE ROLE MODELS: Blending Teaching Personal & Social Responsibility (TPSR) and Arts-based education with Underserved Youth
Bibliographic record
Abstract
The Teaching Personal & Social Responsibility model espoused by Hellison (2011) has immense fluidity in its applications and methods. This suggests that it would have potential as a partner with an equally fluid approach, Artography informed arts-based education. It is this partnership that animates this project. Using a qualitative, hermeneutic, constructivistic lens and a case study approach, this study’s multiple levels of analysis across several data sets yielded findings suggesting synergies between the life skills framework TPSR and Artography-informed arts-based education and how these synergies are used effectively when teaching a blend of TPSR and arts-based approaches in the context of the Confident Healthy Active Role Models (CHARM) program. The findings demonstrate that the synergies between the two frameworks can be used effectively in the CHARM program to support participants and students in learning and thriving in an environment that values the needs of the individual balanced with the needs of the collective.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| 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".