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Record W2904039962 · doi:10.1111/1467-8500.12355

Arguing about Indigenous administrative participation in the Whitlam era: A representation theory analysis

2018· article· en· W2904039962 on OpenAlexaboutno aff
Elizabeth Ganter

Bibliographic record

VenueAustralian Journal of Public Administration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionBureaucracyIndigenousPublic administrationRoyal CommissionRepresentation (politics)Administration (probate law)Government (linguistics)Political scienceSociologyLawPolitics

Abstract

fetched live from OpenAlex

Abstract In 1974 Prime Minister Gough Whitlam established the Royal Commission on Australian Government Administration (‘the Commission’), appointing HC Coombs as chair. The Commission's brief was ‘to inquire into and report on the administrative organization and services of the Australian Government’ giving particular attention to, among other issues, public servants’ ‘participation in forming policy and making decisions’. From the outset the Commission aligned itself with the view that Aboriginal people were ‘less than proportionately represented in the administration’. The Commission asked CD Rowley to prepare a report on Aboriginal issues. Barrie Dexter, Secretary of the newly established Department of Aboriginal Affairs and Charles Perkins, Assistant Secretary and Arrernte man from Central Australia, both gave evidence to the Commission. The competing ideas on Indigenous administrative participation expressed by Coombs, Rowley, Dexter and Perkins in the course of the Commission will be considered through the lens of representation theory. While all four doubted the capacity of the bureaucracy to provide a meaningful channel for Indigenous representation internally, each argued from a different view of representation. Understanding their positions on how Indigenous people should be represented in public administration, including their assumption that there would also be external Indigenous representation, could shed light on tensions that are still present today.

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)0.030
metaresearch head score (Gemma)0.024
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 score0.030
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0230.075
Scholarly communication0.0170.017
Open science0.0030.010
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0060.000

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 head0.084
GPT teacher head0.429
Teacher spread0.345 · 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
Published2018
Admission routes1
Has abstractyes

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Same venueAustralian Journal of Public AdministrationSame topicIndigenous Health, Education, and RightsFrench-language works237,207