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Record W1555569076 · doi:10.7202/800726ar

Évaluation économique des programmes de remplacement de la main d’oeuvre expatriée dans les pays en voie de développement : étude du cas de la Côte-d’Ivoire

2009· article· en· W1555569076 on OpenAlexvenueno aff
Terry D. Monson, Garry Pursell

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Studies and Geopolitics
Canadian institutionsnot available
Fundersnot available
KeywordsValuation (finance)Welfare economicsSecondary educationEconomicsPolitical scienceBusinessSociologyPedagogyFinance

Abstract

fetched live from OpenAlex

This study addresses several problems of educational policy posed by the replacement of highly skilled expatriates in the Ivory Coast's labor force. Conceptualizing expatriate replacement as an import-substitution activity in which Ivorian labor substitutes for previously imported labor services, the authors apply a modified Domestic Resource Cost (DRC) analysis to evaluate Ivorian secondary and university educational programs necessary to train the local labor. This methodology, along with more conventional cost-benefit approach, confirms that education is economically desirable in the Ivory Coast and that resource allocation to the upper secondary level is especially warranted. Lower secondary education is useful in so far as it performs a conduit function for higher levels of training. The importance of university education will probably increase as the occupational-educational structure is upgraded through technological development. Finally, consideration should be given to instituting a system of tuition charges in order to equate social and private rates of return in upper secondary and university education.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.045
GPT teacher head0.335
Teacher spread0.290 · 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.

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

Citations0
Published2009
Admission routes1
Has abstractyes

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