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Record W241295539

Railways in Australia: federation unfulfilled

2011· article· en· W241295539 on OpenAlexaboutno aff
Philip Laird

Bibliographic record

VenueResearch Online (University of Wollongong) · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePublic administrationBusiness
DOInot available

Abstract

fetched live from OpenAlex

Sir Henry Parkes in October 1889 at his definitive Tenterfield call for federation of the Australian Colonies had stated the need for a uniform railway gauge on the through lines between Brisbane Sydney Melbourne and Adelaide. The paper notes that this took until 1995 to be achieved, and explores the reasons why it took so long. The main reason is that under the 1897 agreements for federation, railways were left under State control. This was in contrast to Commonwealth being given express powers to control defence, and services such as post and telepraphs. The paper explores the current cost of multiple gauges and other substandard aspects of Australian railways. These include an overdependence on roads and road vehicle transport whose total costs are estimated at over 10 per cent of GDP, with a high dependence on imported oil with excessive emissions and external costs. The suggested remedies are: * expansion and upgrading of urban rail in Sydney and other large cities, * bringing mainline interstate track towards Canadian and US Class I railroad standards by straightening and strengthening the track with better clearances, * residual gauge standardisation, particularly of broad to standard gauge, * rehabilitation of branch lines and completion of better rail links to ports, * construction of an inland Melbourne Parkes Brisbane railway, and, * road pricing reform.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.005
Open science0.0010.006
Research integrity0.0040.004
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 head0.183
GPT teacher head0.294
Teacher spread0.111 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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