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Record W1508830161

Egypt Labor Market Panel Survey 2006: Report on Methodology and Data Collection

2007· preprint· en· W1508830161 on OpenAlexaff
Ghada Barsoum

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUnderemploymentEarningsSample (material)Data collectionUnemploymentPanel dataWork (physics)Scale (ratio)Demographic economicsSurvey data collectionSurvey samplingBusinessGeographyEconomicsEconomic growthEngineeringFinanceSociologyDemographyStatisticsPopulation
DOInot available

Abstract

fetched live from OpenAlex

The Egypt Labor Market Panel Survey 2006 (ELMPS06) is the first full-fledged panel study of its scale in Egypt. This panel follows a nationally representative sample of 4,816 households visited in 1998, households that split from that sample, plus a refresher sample of 2,500 households. The total number of households reached in 2006 is 8,349. The ELMPS06 provides estimates of employment, unemployment and underemployment. The survey also collects information on job characteristics, mobility, and earnings. Collected data covers issues of household socio-economic characteristics, demographic characteristics, family enterprises and women’s status and work. A separate community level questionnaire has been administered to collect data on access to services and work opportunities in sampled localities. This report provides information on the different methodological issues related to the survey including sampling, questionnaire design, training of field staff, data collection, office review, and data entry.

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)0.041
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.250
GPT teacher head0.461
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations14
Published2007
Admission routes1
Has abstractyes

Explore more

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