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Record W2593996854 · doi:10.18357/ijcyfs81201716741

A COMMUNITY SURVEY OF CHILD CARE ISSUES IN CANADIAN SHIFT WORKERS: EVIDENCE FOR BARRIERS AND OPPORTUNITIES

2017· article· en· W2593996854 on OpenAlexaffvenueabout
Phoebe Scotland, Elk Valley Child Care Advisory Initiative, Elkford Women’s Task Force

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsBritish Columbia Centre of Excellence for Women's HealthCollege of the Rockies
Fundersnot available
KeywordsWorkforceChild careGovernment (linguistics)BusinessNursingPublic relationsMedicineEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Child care availability and affordability are common concerns throughout many communities in Canada. Furthermore, there are specific child care issues affecting families that include shift workers. A formal initiative was developed in the Elk Valley, British Columbia, following identification of child care as a major concern of residents, and in 2015 a survey was conducted with the aim of understanding child care issues as they relate to employment. The intent was to investigate barriers and opportunities, and to develop both short- and long-term mitigation strategies. The survey queried the perspectives of 302 respondents, including parents, guardians, and other caregivers, as well as child care providers, employers, and other interested community members. The results confirmed that there are barriers to availability and affordability of child care and allowed for recommendations regarding mitigation strategies. Furthermore, respondents indicated that municipal governments, the provincial government, local employers, child care providers, families, and other community organizations are responsible for working together to develop solutions to the child care issues. The results of this community-based survey are applicable to other communities across Canada and internationally, and provide insight into child care issues that impact the workforce.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.206
GPT teacher head0.406
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes3
Has abstractyes

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