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Political economy, demography and development in Australia's Northern Territory

2010· article· en· W2138580198 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2010
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsDiversification (marketing strategy)IndigenousFrontierWorkforcePopulationDisadvantagedPoliticsMythologyEconomicsDevelopment economicsEconomyGeographyPolitical scienceEconomic growthBusinessSociologyEcologyDemography

Abstract

fetched live from OpenAlex

The Canadian ‘staples thesis’ literature has documented both the risks (in the tradition of Harold Innis) and the opportunities (in the tradition of W. A. Macintosh) inherent in economies that are dependent on the export of minimally processed natural resources. The key risk is that of retarded long‐term growth as a result of a lack of diversification and over‐dependence on foreign capital and markets. This article argues that the demographic consequences of staples approaches to development also make it difficult to achieve diversification. It profiles Australia's Northern Territory as an example of a mining‐dependent (fiscal) economy that demonstrates a particular demographic profile consistent with what might be expected of a resource frontier. The article argues, however, that restrictive demographic characteristics persist (high sex ratios, high population mobility, disadvantaged position of indigenous people and remote dwellers) even though mining has become an insignificant direct employer (less than one percent of the workforce) and the services sector drives the labour market. This persistence can be linked to the Territory and federal government expectations of economic development patterns in the region and the frontier mythology created around the Northern Territory. Addressing the demographic imbalance is a critical step towards realizing ambitions for economic diversification.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.001
Science and technology studies0.0000.001
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 head0.007
GPT teacher head0.174
Teacher spread0.167 · 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