Factors Influencing Teachers in Engaging with University Outreach: Is it Just Cost?
Bibliographic record
Abstract
A chemistry outreach day event was offered, free-of-charge, to schools in the south west of England who do not normally engage with Bristol ChemLabS outreach events delivered at the University of Bristol. The participating teachers were interviewed to find out their expectations of the day in terms of helping their students or in helping the teachers, whether the “free” aspect, or not, triggered the application to the event and whether finance or other barriers normally prevented engagement in such events. The value versus cost of such outreach an event is discussed. While finance was the biggest issue for the majority of the interviewed teachers they recognised the value of the inspiration rather than subject knowledge acquisition for their students. The advantages for the teachers were seen as better motivated students and the likelihood of more students taking their subject at higher levels. Having attended such an event and observing the quality and impact on their students, teachers were more inclined to engage in the future whether there was a financial charge or not.
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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 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".