MétaCan
Menu
Back to cohort
Record W2969187203 · doi:10.1163/15718182-02703005

Exploring the Everyday Lives of Children in Winnipeg, Canada

2019· article· en· W2969187203 on OpenAlexaffabout
Elizabeth Huynh, Ashley Stewart-Tufescu

Bibliographic record

VenueThe International Journal of Children s Rights · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversity of ManitobaRed River College
Fundersnot available
KeywordsContext (archaeology)Everyday lifeAction (physics)SociologyPsychologyPublic relationsGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

Over the past decade there has been a call to action for researchers to explore children’s subjectivities in the context of well-being. How children understand and experience well-being in a Canadian context was examined in this study. Twenty-one children between 8 and 12 years of age participated in semi-structured interviews facilitated by the Life Story Board™. Three main themes emerged: (1) freedom and control, (2) child rights and social supports, and (3) children’s participation as social actors. Results from this study highlighted the importance of children needing to feel heard by parents and teachers; children being recognised as rights-holders with opportunities to actualise their rights; and children having meaningful opportunities to participate in matters which concerns them in everyday life as important components of subjective well-being. Results may serve to inform child-serving professionals, policymakers, and parents and guardians about how school-aged children from this Canadian context conceptualize and experience well-being.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.078
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0170.005
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.273
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueThe International Journal of Children s RightsSame topicChildren's Rights and ParticipationFrench-language works237,207