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Record W2070901856 · doi:10.54648/ijcl2014013

Designing Collective Bargaining Frameworks for Self-Employed Workers: Lessons from Australia and Canada

2014· article· en· W2070901856 on OpenAlexaboutno aff
Shae McCrystal

Bibliographic record

VenueInternational Journal of Comparative Labour Law and Industrial Relations · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsCollective bargainingLabour lawContext (archaeology)Bargaining powerWork (physics)Law and economicsIndustrial relationsBusinessEconomicsLabour economicsSociologyPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

The capacity for workers to combine in order to further their economic and social interests is a fundamental right enshrined in the Conventions of the International Labour Organization. Despite this, access to lawful collective bargaining may be limited in national jurisdictions to a more restricted class of workers, namely 'employees'. In common law countries, self-employed workers (or independent contractors) are almost always excluded. The distinctions drawn in national collective bargaining schemes between who is covered and who is not are a product of twentieth-century forms of work organization which facilitated a clear delineation between 'employees' labouring for the benefit of their employer, and self-employed 'entrepreneurs' in business for themselves. However, the economic structures and forms of work organization underpinning that distinction have broken down. Workers in need of the protection and benefits collective bargaining offers may be excluded because their contractual arrangements do not fit the twentieth-century model of employment on which access to collective bargaining is commonly based. Exploring how the boundaries of labour law regulation should be redrawn for the new globalized, outsourced and restructured world of work is a major challenge confronting the labour law discipline. This article considers how we might redefine those boundaries in the context of collective bargaining to accommodate the needs of self-employed workers. Starting from the assumption that such workers should be provided with access to lawful collective bargaining, the article discusses the issues that arise in designing such a framework. The discussion will draw upon various schemes in Australia and Canada that have been designed for particular classes of precarious self-employed workers, considering the lessons that can be learned from those experiences.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.122
Threshold uncertainty score0.884

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0210.008
Scholarly communication0.0080.003
Open science0.0030.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.084
GPT teacher head0.365
Teacher spread0.281 · 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 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

Citations3
Published2014
Admission routes1
Has abstractyes

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