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Record W4210519396 · doi:10.21203/rs.3.rs-1299567/v1

New Evidence of Changes in Students’ Achievement Motivation in the Context of the COVID-19 Pandemic

2022· preprint· en· W4210519396 on OpenAlexaffabout
Jonathan Smith, Fanny‐Alexandra Guimond, Jérôme St‐Amand, Caroline Fitzpatrick, Julie Bergeron, Mathieu Gagnon

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec en OutaouaisUniversity of OttawaUniversité de Sherbrooke
Fundersnot available
KeywordsEnthusiasmPandemicCoronavirus disease 2019 (COVID-19)PsychologyPerceptionCompetence (human resources)Context (archaeology)Expectancy theoryThird waveValue (mathematics)Social psychologyMathematics educationMedicineSociologyGeographyMathematicsStatistics

Abstract

fetched live from OpenAlex

Abstract In an article published early in 2021, we shared results indicating that expectancy (i.e., competence beliefs) and value (i.e., interest in learning, utility value, mastery and performance goals) perceptions among a sample of 90 French Canadian students (Mage = 14.81) in grades 9 and 10 remained at similar levels from few weeks before the first wave (January 2020) to the second wave (November 2020) of the COVID-19 pandemic. One perception (i.e., interest) even improved, suggesting that, after experiencing a confinement, students re-approached in-class activities with enthusiasm. To determine if this pattern of results remained the same as the pandemic persisted, an additional measurement has been performed during the third wave. Analysis with this additional data point revealed that interest, utility value and mastery goals ended up declining. These new data suggest that, ultimately, this pandemic has negative effects on students’ motivation, even if they keep benefiting from in-class activities.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.330
Threshold uncertainty score0.656

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.304
GPT teacher head0.505
Teacher spread0.201 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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Same venueResearch SquareSame topicMotivation and Self-Concept in SportsFrench-language works237,207