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Record W635122506 · doi:10.3138/9781442678163

Our children's future : child care policy in Canada

2001· book· en· W635122506 on OpenAlexaboutno aff
Gordon Cleveland, Michael Krashinsky

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsChild carePoliticsSubsidyPolitical sciencePopulationPublic policyPublic administrationPublic relationsEconomic growthMedicineNursingEconomicsLawEnvironmental health

Abstract

fetched live from OpenAlex

Since 1997 Quebec has offered licensed child care services for $5 per day to its entire population. British Columbia has begun its own program of universal subsidization of licensed child care services for five and six year old children. With this in mind, and the belief that Canadian governments and the public are ready to contemplate making a major investment in improving child care services, Gordon Cleveland and Michael Krashinsky have assembled many of the key experts and activists in the area of Canadian child care policy, and asked them to consider a number of crucial questions. Our Children's Future makes an important contribution to understanding how Canada, with its particular institutions, history, politics, and values, should design a national child care strategy. Presenting a healthy and vigorous debate among child care experts, policy analysts, and key policy makers this book attempts to answer how we are to make the transition to a future with substantially more public involvement in child care and offers suggestions as to what that child care system should look like.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.228
Threshold uncertainty score0.896

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0200.006
Scholarly communication0.0110.003
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.015
GPT teacher head0.338
Teacher spread0.324 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations19
Published2001
Admission routes1
Has abstractyes

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Same topicResearch in Social SciencesFrench-language works237,207