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Record W2525189274 · doi:10.1111/spol.12209

Social Policy Change: Work–family Tensions in Sweden, Australia and Canada

2016· article· en· W2525189274 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Policy and Administration · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsWilfrid Laurier UniversityBalsillie School of International Affairs
Fundersnot available
KeywordsNorm (philosophy)Argument (complex analysis)RationalisationPoliticsSociologyUnpaid workWork (physics)Political scienceEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract The rise of the adult worker family norm across countries of the Organisation for Economic Co‐operation and Development has created challenges for reconciling work and family life as the unpaid work of the female caregiver can no longer be assumed. The article compares childcare arrangements and maternity/parental leave programmes in Sweden, Australia and Canada that attempt to address these challenges. Sweden was an early innovator, establishing the ‘gold standard’ for such arrangements in the form of publicly funded, universally accessible, centre‐based childcare and generously paid parental leave, including a ‘daddy quota’. Yet policy development remains open to contestation and change even here. Australia and Canada have shown a preference for market‐based solutions although each has taken steps towards Swedish style solutions. In particular, Canadian federalism has left space for such experiments at the provincial scale. The broader institutional arrangements embedded in each country have helped to shape the responses. Yet political contestation, enlivened by the transnational flow of ideas (and ideals), has played an important role in shaping the direction and velocity of change. In the first section we develop this argument, beginning with reflections on how to identify the significance of changes, then moving on to explore the role of institutions, actors and ideas in accounting for these developments. Subsequent sections examine developments first in Sweden then Australia and 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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.150
GPT teacher head0.418
Teacher spread0.268 · 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