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Record W4391153774 · doi:10.55016/ojs/ajer.v46i2.54802

Researching Young Children's Lived Experiences of Loneliness: Pedagogical Implications for Linguistically Diverse Students

2000· article· en· W4391153774 on OpenAlexafffundvenue
Anna Kirova‐Petrova

Bibliographic record

VenueAlberta Journal of Educational Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Federation of University Women
KeywordsLonelinessPsychologyDevelopmental psychologyPedagogyMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

This article addresses the pedagogical implications of linguistically diverse students' experiences of loneliness in elementary school. The study presented was derived from a larger investigation of young children's lived experiences of loneliness. A review of interviews with 10 linguistically diverse students in the original study revealed that these children experience the loneliness of being excluded, unwanted, and disliked, as well as empty of happiness, as a result of their inability to communicate appropriately with their peers. The students' loss of self-esteem and sense of self-worth and the development of learned helplessness syndrome are directly related to the persistence of their experiences of loneliness over a long period. Providing opportunities for meaningful social interactions in activities that do not require the English language as a sole means of expression of their knowledge and skills and teachers' effective use of nonverbal communication can be employed as strategies to foster a sense of belonging to the peer group and to promote hopefulness, which can lead to a reduction of feelings of loneliness in young linguistically diverse children.

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 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)0.003
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.212
GPT teacher head0.532
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designObservational
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

Citations23
Published2000
Admission routes3
Has abstractyes

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