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Record W1574627918 · doi:10.17848/9780880994187.ch1

Introduction [to Workers' Compensation]

2001· article· en· W1574627918 on OpenAlexaff
Terry Thomason, Timothy P. Schmidle, John Burton

Bibliographic record

VenueUpjohn Research (W.E. Upjohn Institute for Employment Research) · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWorkers' compensationCompensation (psychology)BusinessPsychologySocial psychology

Abstract

fetched live from OpenAlex

C.2 Six Basic Models Used to Calculate Employers' Costs C.3 The Basic Models Used for the 48 Jurisdictions, 1975-95 C.4 Compendium of Variables with Data for the Five Basic Models for States with Private Carriers C.5 Calculation of Adjusted Manual Rates from Manual Rates C.6 Calculation of Adjusted Manual Rates from Pure Premiums C.7 State Residual Market Shares, 1980-95 C.8 Adjustments for Residual Market Pricing Programs C.9 Sample Calculation of Adjusted Manual Rates for Model I, for Colorado on January 1, 1981 C.10 Sample Calculation of Adjusted Manual Rates for Model II, for Colorado on January 1, 1995 C.11 Sample Calculation of Adjusted Manual Rates for Model III, for Florida on January 1, 1988 xiii

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)0.017
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.176
GPT teacher head0.469
Teacher spread0.293 · 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.

Study designNot applicable
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
Published2001
Admission routes1
Has abstractyes

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