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Record W2098201916 · doi:10.1111/1471-0366.00066

Aboriginal Labour and the Pastoral Industry in the Kimberley Division of Western Australia: 1960–1975

2003· article· en· W2098201916 on OpenAlexaff
T. Bradbrooke Smith

Bibliographic record

VenueJournal of Agrarian Change · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsWestern University
Fundersnot available
KeywordsLivestockUnemploymentEconomic shortageCommodityRecessionEconomicsGeographyEconomyEconomic growthMarket economyGovernment (linguistics)

Abstract

fetched live from OpenAlex

This paper surveys the Kimberley pastoral (or livestock) industry – historically the economic mainstay and largest employer in this remote region of Western Australia – and its relationship with Aboriginal labour, utilizing empirical material, much of which is presented for the first time. Part of the analysis reviews the labour market and employment conditions that existed during the period 1960–1968, when a significant labour shortage occurred. However, in the Kimberley (as elsewhere), beginning in the late 1960s and early 1970s, unemployment grew rapidly. Reasons for the rapid growth in unemployment, of which Aboriginals constituted the greatest proportion, included, among other things, a global downturn in commodity prices for livestock products and especially beef in this case, concentration of ownership and increased capitalization in the livestock industry, and the decision to pay Aboriginal pastoral workers award rates. The period 1960–1975 graphically illustrates the changing nature of the Kimberley pastoral industry, as well as the repercussions of global dynamics for regional economies.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.279
Teacher spread0.250 · 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 designObservational
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

Citations6
Published2003
Admission routes1
Has abstractyes

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