MétaCan
Menu
Back to cohort
Record W3049345155 · doi:10.1017/s1743923x20000598

News Coverage of Child Care during COVID-19: Where Are Women and Gender?

2020· article· en· W3049345155 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

VenuePolitics & Gender · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsFraming (construction)NewspaperCoronavirus disease 2019 (COVID-19)Child carePandemicHealth carePolitical scienceConversationPsychologyMedicineGeographyFamily medicineLaw

Abstract

fetched live from OpenAlex

Abstract Research has long observed the absence of gender in child care policy, media, and elections. However, the COVID-19 pandemic has invoked critical questions about child care and its importance to states’ economic recoveries around the world. In this research note, we analyze news coverage of child care in major Canadian daily newspapers to explore whether and how news narratives regarding child care are shifting in light of the COVID-19 pandemic. In particular, are we seeing a focus on women and gender in child care coverage amid the compounding pressures that women face in the current social and economic climate? The results of our analysis suggest that the pandemic has not shifted the conversation on child care and that current coverage principally reflects long-standing trends in child care framing. We find that gender remains systematically written out of coverage of child care, occluded by a larger focus on health-, economic-, and accessibility-related concerns about child care services.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.593

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 studies0.0010.000
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 head0.055
GPT teacher head0.331
Teacher spread0.276 · 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