Youth Learning in Afterschool Programs
Bibliographic record
Abstract
This chapter reports on the learning outcomes of an after-school program (ASP) known as Fusion Youth and Technology Centre (Fusion) situated in Ingersoll, Ontario. The chapter begins by making the case that ASPs are part of the lifelong learning infrastructure and they should be given more consideration by researchers and policy-makers. This is followed by examining the changes in education and its implications for youth followed by a discussion of ASPs and positive youth development. A description of Fusion is presented and then the findings of four studies conducted at Fusion are reviewed. The discussion focuses on learning outcomes and reports back in terms of external and internal assets necessary for positive youth development to occur and their relationship to technical skill development. A conclusion is then drawn that ASPs with a focus on technology programs can have significant learning outcomes in terms of capacities and technical skills developed. Furthermore, it is argued that the benefts are often derived by rural youth who are not successful educationally, come from lower socio-economic homes, and are the youth who are most likely to be at-risk.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".