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Record W4404575074 · doi:10.3138/chr-2024-0060

The “Illusion” of Childcare Reform: The Child Care Expense Deduction, Tax Expenditures, and Social Policy

2024· article· en· W4404575074 on OpenAlexaffvenueabout
Lisa Pasolli

Bibliographic record

VenueCanadian Historical Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policies and Family
Canadian institutionsQueen's University
Fundersnot available
KeywordsSubsidyTax deductionPoliticsTax reformEconomicsTax policyProfit (economics)Tax creditPublic economicsChild careWork (physics)CashLabour economicsState income taxPolitical scienceMarket economyGross incomeFinanceLaw

Abstract

fetched live from OpenAlex

In most historical work on Canadian childcare policy, the tax system is treated as an afterthought. This article does the opposite by considering the introduction and operation of the Child Care Expense Deduction (cced), introduced in 1971, as part of the history of childcare policy and politics. The cced had a significant impact on how childcare policy unfolded in the decades following its introduction. By offering cash transfers to some working parents, and disproportionately to higher-income families, the cced helped both to reinforce the idea that childcare was a private responsibility and to subsidize the private and for-profit childcare market. Over time, supported by a growing constituency of interests who benefited from tax breaks, the tax-based approach to childcare support became entrenched. The cced was among the combination of factors that helped forestall the possibility of a universal childcare program in Canada.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.113
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.011
Science and technology studies0.0050.021
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.296
Teacher spread0.277 · 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

Citations0
Published2024
Admission routes3
Has abstractyes

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