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Record W2034491687 · doi:10.5539/jgg.v5n3p88

The Labour Market Situation in the Central-Eastern European Region – Towards a New Labour Paradigm

2013· article· en· W2034491687 on OpenAlexvenueno aff
Katalin Lipták

Bibliographic record

VenueJournal of Geography and Geology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
FundersEuropean Social FundEuropean Commission
KeywordsReinterpretationGlobalizationWork (physics)Unit (ring theory)EconomicsEconomic systemIndustrial relationsIndustrial policyMarket economy

Abstract

fetched live from OpenAlex

The author assumes that globalization and its regional and local impacts have an important role in nowadays’ economics. An overview is given about the main findings of the economic theories associated with employment and paid work; reinterpretation of the concept of labour is also provided, divided into pre-industrial, industrial and post-industrial periods, which the author aligns with the periods of the economic thought. The author interprets globalization as a factor influencing the transition between industrial and post-industrial periods; and she elaborately introduces its economic-social and labour market impacts. Central-Eastern European countries and regions are analyzed, as the territorial unit of the research, from labour market and employment aspects. Special attention is paid to the comparative evaluation of the employment policy documents in the case of the investigated countries. The author also draws attention to the deficiencies of labour situation. Afterwards, she contributes suggestions to the criteria of creating a more efficient regional employment policy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.258
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2013
Admission routes1
Has abstractyes

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