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Record W4286771242 · doi:10.51657/ric.v6i1.51489

Construction collective d'élèves du secondaire autour de la question de l'intimidation: analyse de la dynamique interactionnelle.

2022· article· fr· W4286771242 on OpenAlexaffvenue
Suzanne Vincent, Marie‐Claude Bernard

Bibliographic record

VenueRevue internationale du CRIRES innover dans la tradition de Vygotsky · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Bullying is a pressing issue that challenges educational and other social practitioners, as many students' schooling process is impeded, often significantly, as regards safety and physical and psychological health. This issue, which is widely discussed in the public sphere and is often debated by adults, also concerns youngsters. Here and elsewhere, measures have been implemented to reduce and prevent bullying in schools. How do high school students interpret the phenomenon of bullying when they are invited to discuss it among themselves in focus groups? What do they say and how do they talk about it? Through the theoretical framework of symbolic interactionism this article sheds light on the meanings that high school students attribute to bullying and on the emerging interactive dynamics that emerged during their discussions. The analysis of the discursive segments manifested a co-construction of meanings stimulated by the interactions students engaged in, and fed by different sources of knowledge that revealed, in a broader sense, students’ relationship to knowledge. In conclusion, we stress the important role of adults for mediating interactions that support the transformation of students’ cognitive capacities and enable them to understand the complexity of the problems with which they must deal.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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 designTheoretical or conceptual
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

Citations0
Published2022
Admission routes2
Has abstractyes

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Same venueRevue internationale du CRIRES innover dans la tradition de VygotskySame topicLinguistics and Discourse AnalysisFrench-language works237,207