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Record W4213287719 · doi:10.1177/14647001211062746

Emotional Justice as an antidote to loneliness: children's books, listening and connection

2022· article· en· W4213287719 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.

Bibliographic record

VenueFeminist Theory · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsWomen's and Gender Studies et Recherches FéministesUniversity of Ottawa
Fundersnot available
KeywordsLonelinessOppressionFeelingActive listeningEconomic JusticeIsolation (microbiology)PsychologySociologyGender studiesPsychoanalysisSocial psychologyPsychotherapistLawPolitical science

Abstract

fetched live from OpenAlex

Loneliness is intimately related to the ongoing epidemics of systemic forms of oppression, including white supremacy, capitalism, heteropatriarchy and settler colonialism. The epidemic of loneliness has only intensified and grown during the isolation engendered by the COVID-19 pandemic. In this article, we aim to think about how children's picturebooks wrestle with explaining loneliness and its antidotes (connection, community) and how these picturebooks are themselves manifestations of ongoing conversations related to Emotional Justice. We conclude by reviewing a number of children's books in order to think about how the picturebook might itself be an artifact that helps to fight feelings of loneliness as well as teaching children and adults alike about the importance of connection.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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