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Record W2755293239 · doi:10.1108/ijse-03-2016-0095

Gender, the state, and informal self-employment

2017· article· en· W2755293239 on OpenAlexaff
Nathanael Ojöng

Bibliographic record

VenueInternational Journal of Social Economics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsTyndale University
Fundersnot available
KeywordsFormalityMobile telephonySociologyTelecommunicationsBusinessEconomicsComputer sciencePolitical scienceLawMobile radio

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the intersection of formality, informality, structures of power, gender, and social norms in the mobile telecommunication industry in Cameroon, and to investigate the reasons for the over-representation of informal self-employed women at the base of the mobile telecommunication industry in the country. Design/methodology/approach This is a qualitative study using interviews and observations. Findings Cameroon’s mobile telecommunication industry is a “spaghetti bowl” where formality, informality, gender, structures of power, and social norms are intertwined. In Cameroon’s mobile telecommunication industry, there is no static division between formality and informality, rather, there is a connection between formality and informality to ensure the unity and totality of the airtime credit distribution system. Self-employment in the mobile telecommunication industry is gendered. Originality/value Analysing the intersection of gender, class, formality, informality, social norms, and structures of power in the functioning of the mobile telecommunication industry in the Cameroon is original.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.742

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 studies0.0010.000
Scholarly communication0.0010.002
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 head0.023
GPT teacher head0.290
Teacher spread0.268 · 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 designNot applicable
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

Citations5
Published2017
Admission routes1
Has abstractyes

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