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Record W4387783627 · doi:10.1177/20563051231203691

“Japa”: An Exploratory Study of the Roles of Social Media in an Out-Migration Trend in Nigeria

2023· article· en· W4387783627 on OpenAlexaboutno aff
Damilola Adegoke

Bibliographic record

VenueSocial Media + Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSocioeconomic statusSocial mediaKinshipInfluencer marketingNigeriansFriendshipUnemploymentImmigrationSocial network (sociolinguistics)SociologyGeographyDemographic economicsPolitical scienceEconomic growthPopulationDemographySocial scienceBusinessMarketing

Abstract

fetched live from OpenAlex

This study seeks to understand the roles of social media in the new “Japa” migration trend in Nigeria. As part of this main objective, the study investigates the demographic characteristics of these new migrants—their age, gender, and socioeconomic status classifications. It also explores the challenges experienced by these new migrants before leaving and after arriving at their destination countries and asks if and how social media mitigates these challenges. The participants consist of Nigerians who lived in the United Kingdom ( N = 18; 48.6%), Canada ( N = 5; 13.5%), the United States ( N = 10; 27%), Sweden ( N = 1; 2.7%), and France ( N = 3; 8.1%). They were aged between 26 and 48 years, with an average age of 32.5. There were 22 (59.5%) men and 15 women (40.5%) in the study. The study finds little to no evidence to support the conclusion of a more direct influence of social media on the migration decision of this Japa migration trend among the cohort interviewed. More conservative social media platforms were preferred to other, more open social networking categories. Also crucially important is the role of trust engendered by offline social network ties (including family kinship and friendship) of online influencers. The display of affluence as a motivating factor could not be conclusively established; other factors like socioeconomic, insecurity, career prospects, and unemployment were mentioned as more important. Social media applications were recognized as information-gathering tools rather than inspirational or motivational sources for the Japa migration enterprise.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativemedium
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
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 head0.043
GPT teacher head0.326
Teacher spread0.283 · 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

Labeled directly by 2 models reading the full record.

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

Citations13
Published2023
Admission routes1
Has abstractyes

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