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Record W2048278070 · doi:10.15173/glj.v5i2.1158

‘The Hobbit Dispute’: Organizing Through Transnational Alliances

2014· article· en· W2048278070 on OpenAlexvenueno aff
Carol Jess

Bibliographic record

VenueGlobal Labour Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Capital (architecture)Power (physics)Order (exchange)PoliticsCollective actionAction (physics)Political economyCollective bargainingTrade unionSociologyPolitical scienceEconomyEconomicsInternational tradeLaw

Abstract

fetched live from OpenAlex

It is now seen as a common sense strategy for trade unions to organise at a transnational level, in order to attempt to counter the global nature of capital in the neo-liberal political economy. Events surrounding the controversy over the location of the production of the two Hobbit movies in New Zealand in 2010 highlight how the forces of labour remain embedded in the nation state. This location of labour within the institutions, history and culture of particular nations, combined with a non-neutral state actor, can negate the power of transnational alliances, leaving labour powerless against threats of capital flight. This paper will seek to explore the transnational strategy adopted by the actors’ Global Union Federation (GUF), the International Federation of Actors (FIA). In doing so, it will use the framework for analysis of such alliances suggested by Brookes (2013). It will also attempt to explain how a brief two- week period in New Zealand (NZ) industrial relations has come to be seen as a failure of trade unionism and global action, even while the objective of that action, collective bargaining, was achieved.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.293
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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2014
Admission routes1
Has abstractyes

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