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Record W4390268394 · doi:10.1080/1461670x.2023.2297784

Managing Difficult Relationships: The Case of Foreign Correspondents in Nigeria, State Officials, and Senior Editors in Overseas Media

2023· article· en· W4390268394 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournalism Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsState (computer science)Political scienceMedia studiesSociologyLawComputer science

Abstract

fetched live from OpenAlex

This research systematically and empirically examines challenges that confront Nigerian foreign correspondents, including how foreign correspondents manage the demands of their job such as pressures from senior editors at their head offices, restricted access to information and state officials, and government officials interfering with objective news reporting.The study also looks at correspondents' accounts of their individual experiences and the strategies they deploy to circumnavigate the challenges they encounter in their professional practice.The merit of this research lies in its intent to fill existing gaps in the scholarship of foreign correspondence in Africa.Specifically, the study contributes to knowledge and understanding of foreign correspondents in Nigeria, the most populous country in Africa, including an understanding of the difficult environment of journalistic practices in a non-Western country.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.072
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.355
Teacher spread0.286 · 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