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Record W4306725321 · doi:10.51657/ric.v6i2.51735

L'adolescent au coeur de systèmes d'activité dans le contexte de Covid-19: redéfinir les routines et les relations au coeur de l'apprentissage.

2022· article· fr· W4306725321 on OpenAlexaffvenueabout
Sylvie Barma, Rollande Deslandes, Nathalie Ste-Marie

Bibliographic record

VenueRevue internationale du CRIRES innover dans la tradition de Vygotsky · 2022
Typearticle
Languagefr
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

In March 2020, teenagers in Quebec, Canada suddenly faced with a challenge related to the way their learning activity was mediated following the closure of schools due to the COVID-19 pandemic. Studies reporting the effects of human disasters and confinement in young people are limited. This study identifies the tensions experienced by 1057 adolescents as they redefine their relationship to family life, learning and school: mediation tools to their learning activities, spatio-temporal redefinition of their activities, modi­fication of relationships with significant adults for them. Two theoretical frameworks are combined: the overlapping spheres of influence model and cultural historical activity theory. A questionnaire was sent online on an opensource survey software. The results present the demographic characteristics of the ado­lescents’ participants and their family, their general state of mind and daily routines adjustments at school and at home, and their perceptions with regards to their relations to their peers, teachers and their parents’ support. Findings pinpoint the tensions related to loss in the activity systems of adolescents as their school activity is challenged by the pandemic and proposes avenues to put in place a boundary zone to support the adolescent.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.355
Teacher spread0.297 · 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

Citations0
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueRevue internationale du CRIRES innover dans la tradition de VygotskySame topicCOVID-19 and Mental HealthFrench-language works237,207