An investigation of kindergarten educator reported barriers and concerns and school neighbourhood composition in Ontario, Canada.
Bibliographic record
Abstract
ObjectivesThe COVID-19 pandemic has not impacted everyone equitably, including children (e.g., Li et al., 2021). The objective of this study was to explore the association between school neighbourhood composition and kindergarten educator-reported barriers and concerns regarding children’s learning during the first wave of COVID-19 related school closures in Ontario, Canada. ApproachIn the spring of 2020, we collected data from Ontario kindergarten educators in an online survey on their experiences and challenges with online learning during the first round of school closures. We asked educators whether they experienced a number of barriers to learning and concerns about returning to school in the Fall. We linked the educator responses to 2016 Canadian Census variables based on the school postal code. Poisson regression analyses were used to determine if there was an association between neighbourhood composition and the number of barriers and concerns reported by kindergarten educators. ResultsEducators (n = 2569; 74.2% kindergarten teachers, 25.8% early childhood educators; 97.6% female) who taught at schools in neighbourhoods with lower median income reported a greater number of barriers to online learning (e.g., students' lack of access to electronic devices) and concerns regarding the return to school in the fall of 2020 (e.g., concerned about differences in how much students learned during the school closures). Educators also reported a greater number of concerns regarding the return to the classroom in neighbourhoods with a greater proportion of single-parent families. ConclusionOur study confirms that the educational impacts of the COVID-19 pandemic may not have been felt equitably even by kindergarten children, as educators teaching in schools in lower SES neighbourhoods reported both more barriers to online learning, and more concerns about returning to the classroom in September 2020.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".