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Record W1482362851 · doi:10.59962/9780774816618

A History of Early Childhood Education in Canada, Australia, and New Zealand

2009· book· en· W1482362851 on OpenAlexaboutno aff
Larry Prochner

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2009
Typebook
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEarly childhood educationEarly childhoodIndex (typography)GeographyPolitical scienceAssociation (psychology)HistoryDemographySociologyPsychologyPedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

In the early nineteenth century, governments developed kindergartens and infant schools to give children a head start in life. These programs hinged on new visions of childhood that originated in England and Europe, but what happened when they were transported to the colonies? This book unwinds the tangled threads of this history by tracing how Enlightenment thought and Romantic ideas translated into early infant schools in England, kindergartens in Germany and the United States, and free kindergarten systems in the Commonwealth countries. The systems that emerged in Canada, Australia, and New Zealand maintained the integrity of the ideas and models that inspired them but adapted them to suit local ideas, politics, and populations. This unique account of early childhood education in comparative perspective provides fresh insight into how to reconcile educational theory and practice in an increasingly global world.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.983

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.007
Science and technology studies0.0150.011
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.021
GPT teacher head0.224
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations57
Published2009
Admission routes1
Has abstractyes

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