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The Jordanian Labor Market in the New Millennium

2014· book· en· W2276528222 on OpenAlexaboutno aff

Bibliographic record

VenueOxford University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Cover (algebra)Panel surveyGeographyEconomicsPolitical scienceEconomyLabour economicsDemographic economicsEngineeringArchaeology

Abstract

fetched live from OpenAlex

This book analyses the results of the Jordan Labour Market Panel Survey of 2010 (JLMPS 2010), a major household survey of labour market conditions carried out in Jordan in the first quarter of 2010. The JLMPS 2010 is part of a series of surveys carried out by the Economic Research Forum to study Arab labour markets, all of which are designed as longitudinal surveys that track respondents over a number of years. The book fills an enormous gap in knowledge about labour market conditions in Jordan, on which there is little published in any language. The chapters of the book cover topics that are essential to understanding the conditions leading to the Arab Spring, including the pace of job creation and employment growth, the persistence of high youth unemployment despite fairly healthy economic growth, the co-existence of in-migration, high unemployment, and out-migration, the very low and stagnant female participation rates despite rapid increases in educational attainment and delayed marriage among Jordanian women, and the unusually early retirement among prime-age male workers. The chapters in the book make use of this unique data set to provide a fresh analysis of the Jordanian labour market that was simply not feasible with previously existing data.

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: Other · Consensus signal: Other
Teacher disagreement score0.583
Threshold uncertainty score0.901

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 communication0.0000.000
Open science0.0010.000
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 head0.223
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; 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
GenreOther

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

Citations23
Published2014
Admission routes1
Has abstractyes

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