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Do ideas matter? Changes in policies concerning children and families in Germany and Norway

2009· book-chapter· en· W2491612127 on OpenAlexaboutno aff
Thomas Olk

Bibliographic record

VenueSociological studies of children and youth · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWelfarePovertyEarly childhood educationPolitical scienceEconomic growthPoliticsChild povertyEarly childhoodPsychologyEconomicsDevelopmental psychology

Abstract

fetched live from OpenAlex

Since the 1990s, the importance of childhood and children within the political agenda of advanced welfare states has grown rapidly. For example, in 1989 the Canadian House of Commons launched a resolution aimed at eliminating poverty among Canadian children by the year 2000. With the help of the National Children's Agenda and the National Child Benefit the situation of children should be improved. Nearly 10 years later in the UK, New Labour heralded the political goal to halve child poverty within 10 years and to eradicate it within 20 years. A wide variety of measures and programs like Sure Start and the National Childcare Strategy were started to improve the welfare and well-being of children. In 2002, a new paradigm was established in Germany concerning family policy. The aim was to improve the reconciliation of family and work, the material welfare of young families by a new parental leave scheme, as well as supporting the development of young children by increasing the number of places for children under the age of 3 in early childhood education and care. Additionally, international organisations contributed to this trend. For example, the OECD (cf. 2001, 2006) propagated the development of early childhood education and care (ECEC) as an important contribution to a successful transition into the knowledge society. According to the Lisbon-Strategy, the EU announced new goals for policies concerning children and families as well as introduced benchmarks for evaluating the implementation of these goals in the member states. Finally, in an influential evaluation for the EU President, Esping-Andersen (cf. 2002) and his colleagues argued for a concept of a “child-centered social investment strategy.”

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
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 studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.051
GPT teacher head0.324
Teacher spread0.273 · 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 designObservational
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

Citations2
Published2009
Admission routes1
Has abstractyes

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