A Reflective View of Covid from an out-of-school programme in Alberta, Canada
Bibliographic record
Abstract
Background: This paper was a reflective study undertaken with a play organisation in Alberta, Canada to explore how their out-of-school programmes coped during COVID-19. Methods: The study involved an online survey and interview with staff working in Alberta, Canada. The data was analysed using Framework Analysis. Results: When compared to similar studies undertaken, for example in the United Kingdom (UK), similarities in relation to a reduction in children attending, resources available and the play space was the result of lockdown restrictions imposed in Canada. There was also a similar increase in cleaning, social distancing measures (children in cohorts) and administration. Differences between the UK studies and this reflective account included no new policies had to be written and children were able to mix in larger age groups within their cohorts Conclusions: This study highlights how out-of-school childcare in Canada was impacted by Covid-19 for Grade 1 to 6 children in Canada.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".