How does taste in educational settings influence parent decision making regarding enrolment?
Bibliographic record
Abstract
Historically in Australia, there has been a growing movement behind the development of quality Early Childhood Education and Care Centres (termed ‘centres’ for this article). These centres are designed to provide care and education outside of the home for children from birth to five years old. In the mid 1980s, the then Labor Government of Australia promoted and funded the establishment of many centres to provide women who were at home with children the opportunity to move into the workplace. Centre fees were heavily subsidised to make this option viable in the hope that more women would become employed and Australia’s rising unemployment statistics would be reduced.The popularity of this system soon meant that there was a childcare centre shortage and parents were faced with long waiting lists to enrol their child into a centre. To alleviate this situation, independent centres were established that complied with Government rules and regulations. Independent, state, and local government funded centres had a certain degree of autonomy over facilities, staffing, qualifications, quality programmes, and facilities. This movement became part of the global increased focus on the importance of early childhood education. As part of that educational emphasis, the Melbourne Declaration on Educational Goals for Young Australians in 2008 set the direction for schooling for the next 10 years. This formed the basis of Australia’s Education Reforms (Department of Education, Employment and Workplace Relations).The reforms have influenced the management of early childhood education and care centres. All centres must comply with the National Quality Framework that mandates staff qualifications, facility standards, and the ratios of children to adults. From a parent’s perspective centres now look very much the same. All centres have indoor and outdoor playing spaces, separate rooms for differently aged children, playgrounds, play equipment, foyer and office spaces with similarly qualified staff.With these similarities in mind, the dilemma for parents is how to decide on a centre for their child to attend. Does it come down to parents’ taste about a centre? In the education context, how is taste conceptualised? This article will present research that conceptualises taste as being part of a decision-making process (DMP) that is used by parents when choosing a centre for their child and, in doing so, will introduce the term: parental taste.
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 | 0.008 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".