Information effects on parental choices for early childhood education and care
Bibliographic record
Abstract
Abstract Existing research demonstrates that parents are poorly informed consumers of early childhood education and care (ECEC) services. Choosing such services is a complex process shaped by a combination of logistical limitations (e.g., cost/location), informational barriers and ideas about what the goal of care should be (e.g., education of young children or provision of an environment that feels like home). Experimental studies have also demonstrated that when study participants are informed of the importance of a specific decision, they engage in more complex decision-making. In this article, we test whether providing parents with information about the regulatory stringency of ECEC options available influences their choices regarding ECEC. A conjoint survey designed to capture quasi-behavioural choices for ECEC services was completed by 682 parents. Before engaging with the survey, participants were randomly assigned into either a control group or a treatment group that informed them about the stringency of oversight regarding ECEC options available in the province of Ontario, Canada. Receiving information did not meaningfully change the choices of the entire sample. However, a subgroup analysis revealed an important information effect on parent decisions for lower income/lower-education parents.
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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 | 0.008 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".