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Record W2943202766 · doi:10.1017/s0008423919000015

Just Who Do Canadian Journalists Think They Are? Political Role Conceptions in Global and Historical Perspective

2019· article· en· W2943202766 on OpenAlexafffundabout
Heather Rollwagen, Ivor Shapiro, Geneviève Bonin-Labelle, Lindsay Fitzgerald, Lauriane Tremblay

Bibliographic record

VenueCanadian Journal of Political Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsUniversité LavalUniversity of OttawaWilfrid Laurier UniversityToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNeutralityPoliticsJournalismAutonomyDiversity (politics)Political sciencePerspective (graphical)DemocracyValue (mathematics)News valuesPublic relationsSociologyMedia studiesPolitical economyLaw

Abstract

fetched live from OpenAlex

Abstract In view of the robust link often inferred between autonomous journalism and the strength of a society's democratic institutions, and against the background of current challenges to journalists’ traditional roles as purveyors of timely and independent information, we interviewed 352 Canadian journalists about their social and political roles and the influences on their news choices. Comparison of their responses against an international data set ( N = 27,567) suggests that Canadian journalists place greater value on detached monitorial roles and claim relatively greater autonomy from commercial and other influences on their work. Further, in comparing these findings to an influential panel study from 1996 to 2003, we conclude that the Canadian journalists’ “credo,” focused on neutral reporting and oriented more to perceived public interest than to business or audience interests, remains surprisingly intact despite contemporary pressures on news forms and business models. This professed neutrality is mitigated by a desire to promote diversity and tolerance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.006
Science and technology studies0.0190.016
Scholarly communication0.0150.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.321
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations9
Published2019
Admission routes3
Has abstractyes

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