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Record W2806120728 · doi:10.15173/glj.v9i2.3336

When Local Class Unionism Meets International Solidarity: A Case of Union Revitalisation in Turkey

2018· article· en· W2806120728 on OpenAlexvenueno aff
Alpkan Birelma

Bibliographic record

VenueGlobal Labour Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityVictoryTrade unionClass conflictPower (physics)Political economyPolitical scienceIdeologyAgency (philosophy)SociologyPublic administrationLawEconomicsPoliticsInternational tradeSocial science

Abstract

fetched live from OpenAlex

The article concerns the recent transformation and ensuing successes of a Turkish trade union of road transport workers called Tüm Taşıma İşçileri Sendikası (TÜMTİS). In the mid-2000s, TÜMTİS was mainly organised in small-sized freight companies having around 1 500 members with collective contracts. The strategic choice of a new leadership to concentrate on a large-scale, international firm with the support of Global Unions was the turning point. The ensuing United Parcel Service campaign ended with a collective agreement for nearly 2 700 new members in 2011. The union won its second large-scale organising victory at DHL in 2014. At the time of writing, a third large-scale firm is on the verge of recognition. To scrutinise this case, I use the power resources approach in a critical way. To the approach, I add an examination of the subjectivities of union leaders by drawing on the debates about different types of unionisms, importance of the ideology and motivations. I argue that the agency behind this revitalisation can be only explained by taking both its objectivities and subjectivities into account. While the class unionism embraced by TÜMTİS leaders explains the subjective side of the story, associational power from below and its meeting with international solidarity play the key role on the objective side.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.990

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)0.0010.000

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 head0.016
GPT teacher head0.318
Teacher spread0.303 · 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 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

Citations12
Published2018
Admission routes1
Has abstractyes

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