MétaCan
Menu
Back to cohort
Record W3025901026 · doi:10.1080/1461670x.2019.1703121

Towards an Experientialist Understanding of Journalism: Exploring Arts-based Research for Journalism Studies

2020· article· en· W3025901026 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.

Bibliographic record

VenueJournalism Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's University
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsJournalismSociologyNarrativeField (mathematics)Diversity (politics)The artsTechnical JournalismEvent (particle physics)Object (grammar)Media studiesVisual artsEpistemologyComputer scienceArtLiterature

Abstract

fetched live from OpenAlex

In this paper, we explore the ways in which we can employ arts-based research methods to unpack and represent the diversity and complexity of journalistic experiences and (self) conceptualisations. We address the need to reconsider the ways in which we theorise and research the field of journalism. We thereby aim to complement the current methodologies, theories, and prisms through which we consider our object of study to depict more comprehensively the diversity of practices in the field. To gather stories about journalism creatively (and ultimately more inclusively and richly), we propose and present the use of arts-based research methods in journalism studies. By employing visual and narrative artistic forms as a research tool, we make room for the senses, emotion and imagination on the part of the respondents, researchers and audiences of the output. We draw on a specific collaboration with artists and journalists that resulted in a research event in which 32 journalists were invited to collaboratively recreate the "richness and complexity" of journalistic practices.

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)0.027
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.981
GPT teacher head0.756
Teacher spread0.225 · 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