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Record W1559008988 · doi:10.1017/cbo9780511581045.008

Conclusion: Theories of Possibilities

2009· book-chapter· en· W1559008988 on OpenAlexaff
Jingjing Huo

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyComputer scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Based on the experience of nine countries, this book has proposed several theories about various aspects of the third way. Among these theoretical propositions, the most important for the book's purpose is the possibility for conflicting ideologies to create incentives for making costly changes to institutions. This is the main focus of the book. As a general thesis potentially speaking to all patterns of institutional evolution, I used it to evaluate two well-known competing theories of welfare state changes: power resources and path dependency. The book's main task has been to demonstrate the possible circumstances under which ideological beliefs can create sufficient incentives for absorbing the cost of unmaking old rules and making new ones. On this basis, the book contributes to the welfare state literature, in outlining the possibilities for power resources to create path-breaking, rather than path-dependent, welfare reforms after the Golden Age. In the process of establishing this argument, I have also proposed several other related theories. These include a thesis on contemporary social democratic ideological transformation, a thesis on the way in which positive externalities that result from being organized can spill benefits over to unorganized outsiders, and a thesis about the components and structure of the third way as a policy paradigm. None of these theories is deterministic about the outcomes. They merely identify the often (though not always) necessary, rather than sufficient, conditions for these outcomes to eventuate. The book, for example, does not lend strong support to those who believe that ideology is more powerful than institutional legacy, or that social democracy will reduce the insider–outsider divide. But the book does make clear that, given the right conditions, it can happen.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.019
Scholarly communication0.0090.013
Open science0.0020.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0220.003

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 head0.027
GPT teacher head0.257
Teacher spread0.230 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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