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Record W3086145565 · doi:10.1017/s0047279420000264

Balancing work and care: the effect of paid adult medical leave policies on employment in Europe

2020· article· en· W3086145565 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.

Bibliographic record

VenueJournal of Social Policy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsMcGill University
Fundersnot available
KeywordsWorkforceCare workWork (physics)Paid workPaymentPopulationPopulation ageingPsychologyNursingBusinessMedicineLabour economicsDemographic economicsEconomic growthWorking hoursEconomics

Abstract

fetched live from OpenAlex

Increasing caregiving needs for family members has created pressure on prime-age workers. Combined with the ageing population, the demand for care related to illness and disability by relatives mean more of the workforce may have to consider caring needs (Bauer and Sousa-Poza, 2015). ‘Informal caregivers’ provide care generally without payment (Yoo et al. , 2004). In contrast to formal care, informal caregivers usually have a close relationship with the recipient: for example, siblings and adult children. Informal caregiving is considered a desirable option to meet support needs from several perspectives; these caregivers may be preferred by recipients relative to formal arrangements especially during severe acute illnesses. Caregivers may also feel a personal sense of responsibility to look after loved ones rather than defer to strangers (Fine, 2012) though this may depend on the individual’s needs and the available alternatives. Although men are starting to play an important role due to shifting social gender roles, the vast majority of informal caregivers are women who increasingly attempt to juggle caring with labour force participation (Carmichael et al. , 2008).

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.301
Teacher spread0.291 · 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