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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.022
Scholarly communication0.0060.004
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 source (direct Gemma or distilled Codex), not a consensus.

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