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Record W1772603859 · doi:10.3968/6849

Displacement or Complementary Effect?: An Assessment of Traditional and New Media Use Patterns among Elites in South-East Nigeria

2015· article· en· W1772603859 on OpenAlexvenueno aff
Ifeoma Vivian Dunu, Gregory Obinna Ugbo, Ebele Ezepue

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeGratificationArgument (complex analysis)Displacement (psychology)Media consumptionGovernment (linguistics)Sample (material)Face (sociological concept)Consumption (sociology)Political scienceSociologyDevelopment economicsSocial scienceSocial psychologyPsychologyLawEconomics

Abstract

fetched live from OpenAlex

In the face of the ongoing debates and discourses concerning the displacement and replacement effect of the new media on traditional media, this study analyzes the media consumption pattern among elites in South-East Nigeria under the framework of the Uses and Gratification approach, to determine if any similarities as observed in developed countries of the world will prevail in Nigeria. Survey research method was used with a sample of 478 elites drawn from government secretariats located in capitals of the five select states in South-east Nigeria. Findings show that respondents still largely utilize the traditional media for gratifying their various needs as opposed to the findings in other parts of the globe that suggest a seeming displacement and replacement effect of the traditional media by the new media. In the face of the displacement effect argument for developing countries such as Nigeria where the new media is still an evolving phenomenon, we therefore, conclude by projecting a rather complementary effect view based on the evidence that elites use and perceive the new media as an extension of the old media.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.099
GPT teacher head0.394
Teacher spread0.296 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2015
Admission routes1
Has abstractyes

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