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Record W2951776670 · doi:10.4000/poldev.3026

The ILO’s Role in Global Governance: Limits and Potential

2019· article· fr· W2951776670 on OpenAlexaff
Velibor Jakovleski, Scott Jerbi, Thomas J. Biersteker

Bibliographic record

VenueInternational development policy/Revue internationale de politique de développement · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRepresentativeness heuristicCorporate governanceOrder (exchange)Work (physics)Political scienceGlobal governanceEconomic systemState (computer science)Public administrationPolitical economySociologyEconomicsManagementEngineering

Abstract

fetched live from OpenAlex

The International Labour Organization (ILO) has demonstrated a remarkable ability to adapt to changing conditions throughout its long history. At its centenary, the ILO must once again respond to evolving circumstances and find new ways to engage state and private actors participating in an interconnected global economy where labour standards continue to be violated and where work itself is undergoing significant transformations. This chapter explores recent efforts by the ILO’s leadership to reassert the organisation’s role in broader global policy contexts. Part one presents the concept of institutional layering in order to understand better the agents of change and the structures in which they operate. The three sections that follow demonstrate institutional layering across three core dimensions of global governance—actors, rules, and mechanisms—in the period since 1998. The chapter concludes that the ILO’s current governance practices have mixed prospects for the organisation’s role in a changing governance landscape. New layers of soft law rules and flexible governance mechanisms can potentially augment the ILO’s global standing moving forward. Its lack of representativeness and its continuing engagement of new actors, however, demand further formal changes to the ILO’s institutional apparatus.

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 categoriesMeta-epidemiology (narrow)
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 score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.015
GPT teacher head0.312
Teacher spread0.297 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational development policy/Revue internationale de politique de développementSame topicInternational Labor and Employment LawFrench-language works237,207