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Record W2996141331 · doi:10.4236/tel.2019.98181

Artisanal Mining, Employment and Empowerment in the North and East of Côte d’Ivoire

2019· article· en· W2996141331 on OpenAlex
Guede Romuald, El Hadj Ali Gbané, Allou Tolla Koffi

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTheoretical Economics Letters · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
FundersInternational Development Research CentreDepartment for International DevelopmentGovernment of the United KingdomWilliam and Flora Hewlett Foundation
KeywordsEmpowermentEmployabilityWomen's empowermentSocioeconomicsWork (physics)Logistic regressionHousehold incomeLogitCote d ivoireDemographic economicsIndex (typography)BusinessEconomic growthEconomicsGeographyEngineeringHumanities

Abstract

fetched live from OpenAlex

This study aims to analyze the impact of mining activities and the empowerment of women on their involvement in household development. This involvement is perceived through the level of empowerment of women in household. Methodologically, an index of empowerment is designed from methods of inertia. Then, employability of women in artisanal mine is modeled from her characteristics. Finally, a logit model is established to measure factors impacting women’s empowerment at household level. It emerges that the level of women’s empowerment in her household increases as she earns an income of 60,000 FCFA and more per month. In addition, 66.21% of women are autonomous at household level. Therefore, it is appropriate to re-examine current conditions of employment of women, without favoring it in less risky or affordable work.

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)0.000
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 score0.226
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.199
Teacher spread0.188 · 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