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NEW ZEALAND LESSONS FOR AUSTRALIAN WORKPLACE REFORM: A CRITIQUE OF 151 ACADEMICS

2006· article· en· W2035692078 on OpenAlexaboutno aff
Len Perry

Bibliographic record

VenueEconomic Papers A journal of applied economics and policy · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationProductivityUnemploymentGovernment (linguistics)Quarter (Canadian coin)Labour economicsWork (physics)InequalityInflation (cosmology)PopulationPolitical scienceAustralian populationPublic administrationRelation (database)Demographic economicsEconomicsEconomic growthLawSociologyGeographyEngineering

Abstract

fetched live from OpenAlex

The Australian Government's newly‐introduced Work Choices Act represents one of the most far‐reaching changes to Australian workplace legislation since Federation. A major detailed critique of the Act—or Bill as it was at that stage—was that which was endorsed by 151 Academics (2005). This influential document, which was a submission to a Senate Enquiry into the Bill, raised many concerns about the then‐proposed legislation. One of the concerns was related to New Zealand. It suggested that New Zealand's Employment Contracts Act 1991—a precursor and template for Australia's Work Choices Act—produced income inequality, a lower full‐time participation rate, lower real wages, flatter productivity and a “diaspora of a quarter of its population”. It will be shown that these claims are, in the main, not supported by the available evidence. Moreover, additional evidence in relation to inflation, real GDP growth, the unemployment rate and employment growth paint a much more positive, or at least nuanced, picture of New Zealand's experience in relation to the Employment Contracts Act.

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)0.049
metaresearch head score (Gemma)0.075
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: none
Teacher disagreement score0.393
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0150.031
Scholarly communication0.0150.011
Open science0.0060.012
Research integrity0.0170.026
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueEconomic Papers A journal of applied economics and policySame topicNew Zealand Economic and Social StudiesFrench-language works237,207