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Record W4391533043 · doi:10.1080/17512786.2024.2313145

Shifting Spaces: How Journalism Students Perceive their Training through the COVID-19 Pandemic

2024· article· en· W4391533043 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournalism Practice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsPandemicJournalismCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Training (meteorology)Political sciencePsychologySociologyPublic relationsMedia studiesMedicineVirologyGeographyOutbreak

Abstract

fetched live from OpenAlex

This study explores how journalism students in one Canadian post-secondary programme perceived their training through the pandemic. We draw on journalism pedagogy literature, Bourdieu’s field theory, and Zelizer’s conceptualisation of interpretive communities to interrogate how remote learning disrupted opportunities for socialisation in the journalistic field. Through surveys of and interviews with students, we identify shared narratives of loss and perceptions of precarity in journalism careers. We argue emerging journalists’ perceptions of the pandemic period contribute to mapping the field and its practices. We conclude by considering how shared pandemic narratives of disruption add to conversations that interrupt the reproduction of spaces that foster burnout or overwork, as students and educators seize opportunities to reframe how journalism operates and how it is taught.

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.

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)0.009
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0050.003
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.187
GPT teacher head0.467
Teacher spread0.280 · 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