Learning to Enhance Community-Responsiveness in an Out-of-School Club Program
Bibliographic record
Abstract
This article describes a methodology and method that can be adopted by informal education leaders who are interested in establishing or developing a community-responsive focus for out-of-school club programming. Based on an adaptation of Dewey’s Laboratory School model, a university research team partnered with a community-based science club provider (the STEM Academy) to establish a model club space where ways of enhancing community-responsiveness could be explored. The overall aim was to scale up an iterative practice of research-informed adaptations into a program of over 20 clubs. The partnership was focused on a two-phase process, equipping the STEM Academy to continue an ongoing research practice in the absence of university influence. The first phase of the study involved gathering information regarding science needs, wants and preferences of a new community context. The second phase established a model club space and sought community feedback on the efficacy of the club in meeting community desires. The research approach used to establish the club and gather ongoing data is described in this article which ends by proposing a schema that can be adapted to suit other out-of-school clubs and programs.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".