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Record W2503616868 · doi:10.1057/9781137485120_2

Ready for School? Lessons from a Sociohistorical Investigation into Mechanisms of Preparation and Classification of Children for Primary School from 1911 to 1979

2015· book-chapter· en· W2503616868 on OpenAlexaboutno aff
Joanne Lehrer, Robert Bastien

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedChristian ministryEarly childhood educationEarly childhoodGovernment (linguistics)Preschool educationPolitical sciencePsychologyPedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

In January 2013, the Quebec Ministry of Education announced the expansion of prekindergarten for four-year-olds. Half-day prekindergarten programs have existed since 1970 in the province, but only in "disadvantaged neighborhoods" within a limited number of school boards. The new, expanded system would implement full-day prekindergarten in at least one school within a "disadvantaged neighborhood" in every school board. This expansion was framed by the government as a crucial pillar in the fight against school dropouts, though the reasons for not offering this service to all children were not explained in official documents (MELS, 2013). The outcry against this policy focused on a debate about where children fare best: early childhood education (ECE) centers or prekindergarten classes, with arguments that ECE provides better quality, ratios, and developmentally appropriate practice than prekindergarten classes (CASIOPE, 2013; Duval & Bouchard, 2013; Moreau, 2013).KeywordsEarly Childhood EducationSchool BoardKindergarten TeacherSchool ReadinessPoor ChildThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.323
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2015
Admission routes1
Has abstractyes

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