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Record W2772260605 · doi:10.18357/jcs.v42i2.17837

The Moral Experiences of Children Living in Poverty: A Focused Ethnography

2017· article· en· W2772260605 on OpenAlexafffundvenueabout
Marjorie Montreuil, Olivia Saint‐Laurent, Franco A. Carnevale

Bibliographic record

VenueJournal of Childhood Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec - SantéCanadian Nurses Foundation
KeywordsPovertyImmigrationSociologyEthnographySpan (engineering)Class (philosophy)Gender studiesPsychologyPolitical scienceAnthropologyPhilosophyLaw

Abstract

fetched live from OpenAlex

A focused ethnography was conducted in an after-school academic support program serving vulnerable populations in Montreal, Quebec, Canada. The aim of this study was to explore the moral experiences of children living in poverty to inform on their daily experiences and moral lives. Our results highlighted that these children, who were experiencing economic hardship and/or social isolation, faced various social barriers, such as stigmatization, family isolation, and linguistic challenges for new immigrant children. As active agents, they navigated the challenges they encountered with help from the program.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0140.013
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.365
Teacher spread0.303 · 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

Citations13
Published2017
Admission routes4
Has abstractyes

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