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Record W1994811891 · doi:10.7202/043108ar

Harmonisation of social policy in the European Community

2005· article· en· W1994811891 on OpenAlexvenueaboutno aff
Karl‐Jürgen Bieback

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrerogativeMember statesSingle marketCompetence (human resources)PoliticsBusinessSocial securityMember stateSocial policyEuropean unionPolitical scienceInternational tradeLaw and economicsEconomicsLaw

Abstract

fetched live from OpenAlex

With the completion of the Common Market by the end of 1992 the issue of harmonisation of EC law and the Member States is being intensively discussed. Most articles concentrate on discussing the direct effects that EC law has on the law of the Member States. However, in the field of social policy EC competences are very limited as this is still within the prerogative power of the Member States. This paper analyses the problem that the regulatory power and weight of the EC are much greater than its direct competences and regulations mainly through the legal, economic and social influences a common market will exert on the legal order of the Member States. One point is the "natural" tendency of (con-)federated political systems to extend the existing limited competences of the centre. This is not only a matter of "implied powers" granted to the larger political unit, but also of the predominance of EC competence to establish a free market over the Member States' competence to regulate their social policy. The second point is the various influences the free market of the Community will have on the structure of the respective social policies of the Member States : social dumping ; limits to national regulations of social services which disturb the free market for services and goods ; the mobility of labour and the exports of social benefits. Although most mechanisms of harmonisation are illustrated by examples of German labour and social security law, the problems apply to all other Member States of the EC and even to a country, like Canada, which is part of a larger zone of free trade and which itself forms a federal system with a fragile balance between the competences of the Federation and the Member States.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.032
GPT teacher head0.319
Teacher spread0.288 · 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 designQualitative
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

Citations8
Published2005
Admission routes2
Has abstractyes

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