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Record W4280564450 · doi:10.1111/chso.12590

Hiding and seeking: Children's lived experiences during <scp>COVID</scp> ‐19

2022· article· en· W4280564450 on OpenAlex
Donna Koller, Maxime Grossi, Meta van den Heuvel, Peter Wong

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

VenueChildren & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsPublic Health OntarioUniversity of TorontoHospital for Sick ChildrenToronto Metropolitan University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Lived experiencePublic healthQualitative research2019-20 coronavirus outbreakEarly childhood educationSocial worldsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)SociologyPsychologyDevelopmental psychologyMedicineNursingSocial scienceInfectious disease (medical specialty)VirologyDisease

Abstract

fetched live from OpenAlex

A qualitative study explored the perspectives and lived experiences of school-age children during COVID-19 using a child rights lens. Twenty children between the ages of 7 and 12 participated in open-ended, virtual interviews. Our hermeneutic analysis found children's right to play and education were severely compromised leaving children to navigate between two worlds: the adult world of public health restrictions and that of their childhood. Despite challenges and lost childhood opportunities, children emerged as competent social agents and responsible citizens. Planning for future pandemics should include policies and practices that balance public health needs with the protection of children's rights.

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)0.000
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 score0.389
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.001
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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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