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Record W1963511953 · doi:10.1080/1461670x.2014.882483

Why democracies need a Functional Definition of Journalism now more than ever

2014· article· en· W1963511953 on OpenAlexaff
Ivor Shapiro

Bibliographic record

VenueJournalism Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsJournalismNormativeMeaning (existential)SociologyEpistemologyClass (philosophy)Presentation (obstetrics)Computer sciencePolitical scienceLawMedia studiesPhilosophy

Abstract

fetched live from OpenAlex

What is journalism? Although some democracies continue to recognize a special status for professional journalists, a clear definition of what constitutes journalistic activity remains elusive. This is a practical problem, both because the boundary-blurring effect of an evolving news ecosystem moves the literal meaning of the word ever-further from intuitive recognition, and because the notion of a free press demands that courts protect specific practices. Five proposed activity descriptors are combined to propose a parsimonious definition: “Journalism comprises the activities involved in an independent pursuit of accurate information about current or recent events and its original presentation for public edification.” This is termed a “functional” definition to distinguish it from both normative evaluation and from “class” definitions for practitioners.

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)0.026
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.029
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0080.053
Scholarly communication0.0290.043
Open science0.0020.005
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.002

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 head0.083
GPT teacher head0.331
Teacher spread0.248 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations72
Published2014
Admission routes1
Has abstractyes

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