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Re-Union

2021· book· en· W4232800155 on OpenAlexaboutno aff
David Madland

Bibliographic record

VenueCornell University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveNorm (philosophy)Collective bargainingSilencePolitical sciencePolitical economyPoliticsLaw and economicsScale (ratio)Collective actionEconomic systemEconomicsLawMarket economyGeography

Abstract

fetched live from OpenAlex

This book explores how labor unions are essential to all workers. Yet, union systems are badly flawed and in need of rapid changes for reform. The book's multilayered analysis presents a solution — a model to replace the existing firm-based collective bargaining with a larger, industry-scale bargaining method coupled with powerful incentives for union membership. These changes would represent a remarkable shift from the norm, but would be based on lessons from other countries, US history and current policy in several cities and states. In outlining the shift, the book details how these proposals might mend the broken economic and political systems in the United States. It also uses three examples from Britain, Canada, and Australia to explore what there is yet to learn about this new system in other developed nations. The book's practical advice extends to a proposal for how to implement the changes necessary to shift the current paradigm. This powerful call to action speaks directly to the workers affected by these policies — the very people seeking to have their voices recognized in a system that attempts to silence them.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.865
Threshold uncertainty score0.894

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.044
GPT teacher head0.233
Teacher spread0.189 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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