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Record W2124308338 · doi:10.1177/1077800408322789

Exploring School Life From the Lens of a Child Who Does Not Use Speech to Communicate

2008· article· en· W2124308338 on OpenAlexaff
Amanda Ajodhia-Andrews, Rachel Berman

Bibliographic record

VenueQualitative Inquiry · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsActive listeningFeelingPsychologyField (mathematics)SociologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

The “new sociology of childhood” emphasizes listening to the voices of children when conducting research about their lives. In keeping with this framework, the following case study highlights the use of inclusive strategies and the importance of the researcher's orientation in exploring the perspectives of a child who does not use speech to communicate. To gather this child's perspectives about his school life, methodological tools such as a Talking Mat and Story Board Game were used. Approximately 62 picture symbols were created, and responses were documented via digital photographs and observational field notes. Findings from the Talking Mat demonstrate two themes: (a) mixed feelings and emotions regarding school life and (b) interactive social activities. Findings from the Story Board Game support the child's responses in the Talking Mat. This study demonstrates that the child is a capable and competent participant who maintains diverse perspectives pertaining to his life at school.

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)0.003
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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.018
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.493
GPT teacher head0.430
Teacher spread0.063 · 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

Citations26
Published2008
Admission routes1
Has abstractyes

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