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Record W7033551191

”Så här har vi gått tillväga” En kvalitativ studie av hur svenska undersökande journalister förhåller sig till transparens

2017· other· en· W7033551191 on OpenAlexaff

Bibliographic record

VenueGothenburg University Publications Electronic Archive (Gothenburg University) · 2017
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsNucleofectionGestational periodDemotionHyporeflexiaTSG101Paraphernalia
DOInot available

Abstract

fetched live from OpenAlex

Title: “Så här har vi gått tillväga” – En kvalitativ studie av hur svenska undersökande\njournalister förhåller sig till transparens\nAuthors: Michael Larsson and Rasmus Lygner\nSubject: Undergraduate research paper in journalism studies, Department of journalism, media and communication (JMG), University of Gothenburg\nTerm: Fall 2016\nSupervisor: Nicklas Håkansson, JMG, University of Gothenburg\nPages/words: 54 pages/19 485 words (including abstract and appendix)\nPurpose: The main purpose of the study is to examine how Swedish investigative journalists relate to the notion of transparency and apply it in their everyday work routine.\nMethod: Qualitative in-depth interviews with Swedish investigative journalists.\nProcedure: Seven interviews with investigative journalists were transcribed and analyzed using Erving Goffman’s dramaturgical perspective, Michael Karlsson’s rituals of transparency and professional theory.\nResults: The results of the study show that although transparency have not been accepted as a new occupational norm by all investigative journalists, it affects their relationship with the audience and way of working.\nTransparency was associated with a wide variety of practices employed by investigative journalists – such as making source material public, getting the public involved in the news process or using transparency as a form of storytelling – and regarded as a way to enhance credibility with audiences. Furthermore, in some cases transparency was described as\nincreasing self-regulation among investigative journalists and being in conflict with the confidentiality of sources.

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)0.015
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.007
Scholarly communication0.0160.010
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0190.008

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 head0.022
GPT teacher head0.229
Teacher spread0.207 · 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.

Study designQualitative
DomainReproducibility
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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueGothenburg University Publications Electronic Archive (Gothenburg University)Same topicSpecies Distribution and Climate ChangeFrench-language works237,207