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Record W1969074954 · doi:10.1177/1464884915579330

Why linking matters: A metajournalistic discourse analysis

2015· article· en· W1969074954 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 · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNews valuesTransparency (behavior)JournalismNewspaperNews mediaPublic relationsContext (archaeology)Political sciencePerceptionMedia studiesSociologyPsychologyHistoryLaw

Abstract

fetched live from OpenAlex

Journalists have incorporated hyperlinks (i.e. linking) into their professional practice since the early stages of digital news expansion. Media scholars and professionals have continually championed their use, yet little is known about the perceptions and uses of links in journalism practice on a broad journalistic scale. Drawing on an analysis of metajournalistic discourses, this study finds that links in news resonate with different aspects of newsmaking: the transparency of news production processes, the user experience, and the economic context. While journalists and other news media experts may indeed see value in linking, that optimism is tempered by levels of caution and worry, suggesting a need for media scholars, journalists, and news organization to re-evaluate the deployment of links within the news process.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.891
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.388
Teacher spread0.301 · 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