MétaCan
Menu
Back to cohort
Record W2010955236 · doi:10.2190/hs.43.3.f

Complementarities or Contradictions? Scoping the Health Dimensions of “Flexicurity” Labor Market Policies

2013· article· en· W2010955236 on OpenAlexaffabout
Zabia Afzal, Carles Muntaner, Haejoo Chung, Qamar Mahmood, Edwin Ng, Ted Schrecker

Bibliographic record

VenueInternational Journal of Health Services · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsYork University
Fundersnot available
KeywordsFlexicurityNexus (standard)Flexibility (engineering)Social securityContext (archaeology)Capability approachBusinessSocial partnersEconomicsEconomic growthPublic economicsLabour economicsMarket economy

Abstract

fetched live from OpenAlex

Flexicurity, or the integration of labor market flexibility with social security and active labor market policies, has figured prominently in economic and social policy discussions in Europe since the mid-1990s. Such policies are designed to transcend traditional labor-capital conflicts and to form a mutually supportive nexus of flexibility and security within a climate of intensified competition and rapid technological change. International bodies have marketed flexicurity as an innovative win-win strategy for employers and workers alike, commonly citing Denmark and The Netherlands as exemplars of best practice. In this article, we apply a social determinants of health framework to conduct a scoping review of the academic and gray literature to: (a) better understand the empirical associations between flexicurity practices and population health in Denmark and (b) assess the relevance and feasibility of implementing such policies to improve health and reduce health inequalities in Ontario, Canada. Based on 39 studies meeting our full inclusion criteria, preliminary findings suggest that flexicurity is limited as a potential health promotion strategy in Ontario, offers more risks to workers' health than benefits, and requires the strengthening of other social protections before it could be realistically implemented within a Canadian context.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.070
GPT teacher head0.459
Teacher spread0.389 · 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.

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

Citations14
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Health ServicesSame topicEmployment and Welfare StudiesFrench-language works237,207