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Record W2806041153 · doi:10.1177/0143831x18776423

Do international union alliances contribute to the effectiveness of international framework agreements? A comparative study of Telefonica and Portugal Telecom

2018· article· en· W2806041153 on OpenAlexafffund
Reynald Bourque, Marc‐Antonin Hennebert, Christian Lévesque, Gregor Murray

Bibliographic record

VenueEconomic and Industrial Democracy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsHEC MontréalUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInternational tradeBusinessEuropean unionTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This study explores how international union alliances (IUAs) contribute to the effectiveness of international framework agreements (IFAs) in emerging or developing economies. Drawing on a distinction between procedural and normative effectiveness, it conducts a longitudinal analysis based on detailed multi-level case studies of two telecom multinational companies – Telefonica and Portugal Telecom – which have signed IFAs. It explores the impact of four dimensions of IUAs (governance structures, material resources, deliberative processes and access to institutional resources) on the effectiveness of IFAs. Key conclusions highlight the importance of procedural effectiveness for normative effectiveness and the role of IUAs’ organizational and institutional resources in ensuring respect for workers’ rights through IFAs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.328

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.040
GPT teacher head0.342
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2018
Admission routes2
Has abstractyes

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