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Record W376257457 · doi:10.14264/240277

Computer-assisted reporting and freedom of information

2003· dissertation· en· W376257457 on OpenAlexaboutno aff
Stephen Lamble

Bibliographic record

VenueThe University of Queensland · 2003
Typedissertation
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsContemptJournalismFreedom of informationGovernment (linguistics)PoliticsPolitical scienceFreedom of the pressCurrencyLawPublic relationsEconomics

Abstract

fetched live from OpenAlex

For nearly a decade theories have been advanced about why journalists have, or have not, adopted computer-assisted reporting (CAR) methods. It has been pointed out that CAR developed in the United States and was adopted more readily and used for deeper research by journalists in that nation than in other nations. One hypothesis in particular gained widespread currency. It was an untested assumption that CAR evolved in the United States and was used to better effect there because that nation had more open freedom of information (FoI) laws than comparable laws in many other nations - especially other major English-speaking nations. It was also believed that defamation and contempt laws had less chilling effects on United States' journalists than journalists working in nations with Westminster systems of government. This thesis contributes to new knowledge by reporting on findings which resulted from testing the foregoing theories. The research also produced important original secondary findings. The thesis examines the foundations of FoI and CAR and the place of each in different political and legal systems. It also contains conclusions drawn from a consideration of complex methodological issues related to journalism as an academic discipline. Among other things, it is explained how the research informing the thesis broke new ground internationally by specifically identifying the foundations of different concepts of freedom of information and the philosophies informing them in the modem era. In doing so it traces the roots of FoI from Seventh Century China, to 18th Century Sweden, to the United States in the mid-20th Century and then to other nations - some of which inappropriately adopted the United States' model of FoI in the past 20 years. Similarly, the evolution of CAR is traced from concepts which emerged in the 1960s and 1970s through to its use at the start of the 21st Century as a powerful practical tool for journalists. It is explained how that progression roughly paralleled development of the Internet and World Wide Web. Through consideration of in-depth case studies there are comparisons of the evolution and functioning of FoI and CAR in the United States, Australia, Canada and New Zealand - with the latter three countries forming a group of prominent Westminster system nations which enacted their own FoI statutes in 1982. There is also an examination of the major differences between the United States' system of government and governance in the three Westminster nations. One area canvassed in detail concerns the effects on journalism, CAR and FoI of a clear three-way separation of powers between the legislature, judiciary and executive in the United States compared with the impacts of a lack of separation between legislatures and executive arms of government in Westminster nations. Another aspect of the research focussed on a finding that the United States failed to take such issues into account when it obsessively promoted its model of FoI as a foreign policy tool after World War II. It is also explained that comparative surveys of thousands of news stories in the nations considered herein produced some surprising results, including the fact that on a per capita basis New Zealand journalists were the lowest users of CAR but the highest users of FoI. That finding was related to a major conclusion of the research - which was that there was no direct link between the evolution of CAR in the United States and that nation's FoI laws. It was found, however, that there were links between the guarantees of press freedom and freedom of speech contained in the First Amendment to the United States' Constitution and the adoption of CAR in that nation. A new way to conceptualise CAR as a collection of different journalistic tools is also proposed. The research pointed to an urgent need for greatly improved and properly informed education about the true basis of FoI so that it can be better understood by politicians, public servants, academics and students. It also reinforced conclusions of earlier researchers that there is a continuing need for journalists and media organisations to be educated about CAR and how to use it to best effect. Finally, a pressing requirement was identified for more research to define and document the methodology of journalism as an academic discipline.

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)0.067
metaresearch head score (Gemma)0.209
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: Other · Consensus signal: Other
Teacher disagreement score0.067
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.209
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.008
Science and technology studies0.0030.016
Scholarly communication0.0160.013
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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
GenreOther

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

Citations5
Published2003
Admission routes1
Has abstractyes

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