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Record W4206966543 · doi:10.1177/0308518x221073989

Reluctant state capitalism: Antipathy, accommodation and hybridity in Irish telecommunications

2022· article· en· W4206966543 on OpenAlexaff
Dónal Palcic, Eoin Reeves, Heather Whiteside

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCapitalismAntipathyState capitalismIrishState (computer science)Political economyEconomic systemPoliticsMarket economyEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The state capitalism literature emphasizes the new roles played by states in global politics and domestic economies through heightened intervention and ownership of key resources and sectors. In Ireland, we instead find a reluctant state capitalism evinced by antipathy towards state ownership, the accommodation of private sector failures and embrace of hybrid governance. Rather than something new and unprecedented, the Irish state has been a long-standing feature of domestic market development and an important institution supporting private enterprise today as in the past. Urging a more academically robust conceptualization of state capitalism, this paper relinquishes innate assumptions of obvious boundaries dividing liberalized capitalism from state capitalism in favour of engaging the domestic state and sectoral developments on their own terms and within their proper historical context. We find reluctant state capitalism in Ireland's telecommunications sector through a continuum of state–market involvement in four phases: commercial, devolving, evolving and partnership state capitalism. By identifying temporal phases of state capitalism, we move beyond the here-and-now of more contemporary ‘new’ state capitalism analyses that suggest rupture with an idealized, liberalized past.

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)0.000
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 score0.335
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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
Published2022
Admission routes1
Has abstractyes

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