Labour market dualization and social policy in pandemic times: an in-depth analysis of private consumption services in Europe
Bibliographic record
Abstract
Purpose This article contributes to the debate on how social policies and labour market regulation have been used to limit the socio-economic consequences of the pandemic by focusing on one specific economic segment of European labour markets: private consumption services, such as trade, tourism, catering and other support services. Design/methodology/approach The analysis combines mixed methods and a variety of sources. First, we built a set of indicators from the EU-LFS microdata for 2019 and the 2018 Eurostat “Structure of earnings survey” and performed a cluster analysis (k-means) on the dimensions and indicators considered. Second, we elaborated EU-LFS data covering 2019 and 2020 (by quarter) and OECD 2020 data, and finally we traced Covid-related policy reforms for the period March 2020–December 2021 and analysed documents and information collected in different policy repositories. Findings The paper shows the relevance and characteristics of private consumption services in different countries, demonstrating that so-called labour market “outsiders” are highly represented in this sector and illustrates the policies adopted to respond to the pandemic in different European countries. The paper asks whether this emergency has been a window of opportunity to redefine regulation in this sector, making it more inclusive. It demonstrates, however, that the common approach in Europe has been dominated by temporary, short-term and one-off measures, which do not represent major changes to the social security schemes that were in place before the pandemic. Originality/value This article builds on the literature on labour market dualization, but approaches the concept from a different perspective – one not centred on the nature of employment relations (stable/unstable) but on economic sectors/branches. This article does not, therefore, discuss in general terms what happened to labour market outsiders during the pandemic, but rather focus attention on a specific group of workers who are highly exposed to risks stemming from dualization: those employed in the private consumption services. The economic sector perspective is an integrative way of framing dualization which is still under-researched.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".