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Record W4200256748 · doi:10.1111/chso.12524

Agency in everyday life: An ethnography of the moral experiences of children and youth

2021· article· en· W4200256748 on OpenAlex
Sophia Siedlikowski, Shauna Van Praagh, Meaghan Shevell, Franco A. Carnevale

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChildren & Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsMcGill UniversityMcGill University Health CentreMontreal Children's Hospital
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAgency (philosophy)EthnographyMoral agencySociologyContext (archaeology)Everyday lifeChildhood studiesSocial psychologyExpression (computer science)Affect (linguistics)Gender studiesDevelopmental psychologyPsychologyEpistemologySocial scienceAnthropology

Abstract

fetched live from OpenAlex

Abstract Drawing on a hermeneutic ethnographic methodology, we studied the everyday moral experiences of young people aged 11 to 16 and how these related to expressions of agency. Our results revealed that young people's agency was manifested through three interrelated dimensions: their aspirations, concerns, and capacities. Agential expression was context dependent, either bolstered or thwarted by certain people or social institutions. Our study empirically supports our ontological advancement of Childhood Ethics as a sub‐specialization of Childhood Studies, offering novel evidence on children's agency. This work further promotes the importance of meaningfully including young people in discussions, decisions, and actions that affect them.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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