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Record W4389163834 · doi:10.22215/ff/v3.i1.02

Changement forcé : Pédagogie de la pandémie et enseignement du journalisme

2023· article· fr· W4389163834 on OpenAlexfundaboutno aff
Patricia H. Audette-Longo, Christine Crowther, Nana aba Duncan, Chantal Francœur, Shenaz Kermalli

Bibliographic record

VenueFacts & Frictions Emerging Debates Pedagogies and Practices in Contemporary Journalism · 2023
Typearticle
Languagefr
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsCoronavirus disease 2019 (COVID-19)Thematic analysisEmotional supportPandemicPsychology2019-20 coronavirus outbreakProfessional developmentAnxietySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medical educationPedagogySociologyPolitical scienceSocial supportQualitative researchSocial psychologyMedicineSocial science

Abstract

fetched live from OpenAlex

Changement forcé est une édition spéciale multimédia de Faits et Frictions qui examine comment les formatrices et les formateurs en journalisme au Canada ont réimaginé le contenu et la réalisation des cours depuis que la pandémie de COVID-19 a donné lieu à un confinement dans toute l’Amérique du Nord en mars 2020.

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)0.008
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.247
GPT teacher head0.506
Teacher spread0.260 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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