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Record W2132994567 · doi:10.1177/146488490100200309

The education of journalists

2001· article· en· W2132994567 on OpenAlexaff
G. Adam

Bibliographic record

VenueJournalism · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsJournalismJudgementTechnical JournalismSociologyArticulation (sociology)DemocracyRepresentation (politics)Media studiesPedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Noting that journalism education has fallen short of the mark set for it in a visionary essay published by Joseph Pulitzer in 1904, the author analyzes Pulitzer's arguments and then makes a case for strengthening the education of journalists. It is argued that an education for a life as a journalist calls for an immersion in news judgement, the development of university-based skills in evidence gathering and fact assessment, formation in the best literary and/or visual methods of representation, and an under-standing of how to apply the forms of understanding born in the academy to the problems of the here and now. It also involves a careful grounding in the languages, purposes and practices of democratic institutions. Journalism education will be strengthened by a careful reconsideration of the concept of journalism, by a parallel reconsideration of the scholarly tasks supporting the teaching of journalism, and a careful articulation between core journalism subjects and cognate academic disciplines.

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)0.021
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.079
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0110.023
Scholarly communication0.0250.016
Open science0.0010.010
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0100.003

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 head0.016
GPT teacher head0.247
Teacher spread0.231 · 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 designNot applicable
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

Citations72
Published2001
Admission routes1
Has abstractyes

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