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Record W3110001494 · doi:10.17863/cam.58772

EU ‘Social’ Policy From Employment Law to Labour Market Reform

2020· book-chapter· en· W3110001494 on OpenAlexaboutno aff
Catherine Barnard

Bibliographic record

VenueApollo (University of Cambridge) · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsLabour lawLabour economicsLaw reformFlexicuritySocial policyBusinessEconomicsMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Depending on your perspective, EU social policy is either regarded as the soft bit of EU law, an essential component of citizenship, or a key element to ensure a level playing field in the EU’s single market. As we shall see, while there is an identifiable body of law which can loosely be described as ‘labour’ or ‘social’ policy, the coverage of social policy is far from comprehensive, and certainly does not represent a replication of national social policy on the EU stage. Many would argue that this is right, that social policy, of all areas, needs to be delivered close to those affected by it and so should not be a matter for the European Union at all. This raises the question, then, as to the role of, and justification for, EU-level ‘social’ policy, a question that has bedevilled the EU since its inception. This chapter presents four stories about EU social policy. The first, and easiest to relate, is the historical evolution of social policy where the different stages are signposted by the various Treaty amendments. It is a story of phases of great activity matched by lengthy periods of inertia (Part B). The second story concerns the contribution of the Court of Justice to the development of a distinctive EU social policy. While traditionally the Court has generally been seen as a supporter of the development of social rights, its true understanding of social issues has been brought into question by the controversial decisions in Viking and Laval, although subsequent events have forced something of a reassessment (Part C). The third story—for a lawyer at least—is much harder to relate because it is a story about a reorientation of approach to regulating the labour market in the EU. It is a story that cannot be told through hard law measures on employment law, but through a myriad of documents on employment policy (Part D). The fourth story is a story of challenges: about new forms of work, about the EU’s response to three crises (financial, covid and Brexit) and about a timid renaissance of social policy in the form of the Pillar of Social Rights (Part E).

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.018
Scholarly communication0.0110.007
Open science0.0010.007
Research integrity0.0110.007
Insufficient payload (model declined to judge)0.0100.002

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 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

Citations6
Published2020
Admission routes1
Has abstractyes

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