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Record W4378373698 · doi:10.1080/1461670x.2023.2216796

Is It Us or Them? The Challenge of Getting Journalists to Participate in Academic Research

2023· article· en· W4378373698 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournalism Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsSheridan CollegeUniversité LavalToronto Metropolitan University
FundersPontificia Universidad Católica de ValparaísoMitacs
KeywordsJournalismPublic relationsSocial mediaContext (archaeology)SociologyData collectionPerspective (graphical)Process (computing)Order (exchange)Political scienceMedia studiesSocial scienceLawComputer science

Abstract

fetched live from OpenAlex

For journalism research rooted in a sociological framework, gaining access to journalists is crucial for data collection. However, journalists are documentably difficult to recruit as participants, frequently due to limited time and resources in shrinking newsrooms, sometimes because of roadblocks put up by leery newsroom management. As part of the data collection process for the Canadian branch of the international Journalistic Role Performance project, researchers tracked issues raised by journalists that may have impacted survey recruitment and completion. These issues were frequently grounded in the context of survey questions designed to be operationalizable in vastly different cultures, and were also documented by other researchers in both the Global North and South who were cooperating in this comparative study. Despite first refusing or completely refusing survey participation, though, some Canadian journalists were willing to be interviewed, giving researchers the opportunity to explore how to best engage journalists in the research process, and design research tools to be shared in different media systems. Using a lens of social exchange, this paper provides unique insight, from the perspective of researchers and participants, on the importance of relationship-building as a focal point in order to adequately contextualize findings within a sociology of news framework.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.719
GPT teacher head0.593
Teacher spread0.126 · 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