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Record W7001861757

Le niveau d’anxiété des parents et des enseignants canadiens pendant la pandémie de Covid-19

2024· article· fr· W7001861757 on OpenAlexaboutno aff

Bibliographic record

VenueR-libre (Université Téluq) · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodPretextDemotionDysgeusiaLiquation
DOInot available

Abstract

fetched live from OpenAlex

La pandémie mondiale de COVID-19, avec les confinements, les mesures sanitaires ainsi que l'école virtuelle synchrone et asynchrone, a fait vivre énormément d'anxiété et d'émotions diverses aux enseignants et aux parents. Cette communication permettra de présenter 8 éléments d'une échelle adaptée de Gauthier et Bouchard (1993) permettant de documenter le degré d'anxiété et de « zénitude » des enseignants et des parents. Un questionnaire bilingue intitulé « Regards croisés de parents et d’enseignants par rapport à l’école virtuelle et en présentiel : un portrait pancanadien pendant la pandémie mondiale de COVID-19 » a été rempli par plus de 1 111 participants au Canada entre avril et aout 2021. En tout, 789 parents et 322 enseignants de tout le Canada - sauf deux provinces - y ont participé. Les résultats montrent notamment que les enseignants sont plus « stressés » et plus « débordés » que les parents. De leur côté, les parents semblent plus « bien » que les enseignants, mais ils sont aussi plus « inquiets » de façon générale.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.065
GPT teacher head0.288
Teacher spread0.223 · 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 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
Published2024
Admission routes1
Has abstractyes

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