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Record W4289666693 · doi:10.51952/9781447347101.ch007

Religious dimensions of postcolonial policy in Australia

2018· book-chapter· en· W4289666693 on OpenAlexaboutno aff
Mark G. Brett

Bibliographic record

VenuePolicy Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceSociologyGeographyHistory

Abstract

fetched live from OpenAlex

Over the past decade, Jürgen Habermas has provoked a conversation about some fundamental questions in public discourse. In the wake of numerous terrorist incidents, he has interrogated the polarisation of worldviews that splits societies into religious and secular camps. Habermas identified the need for a ‘postsecular’ discourse within which religious and secular contributions can learn from each other, and forge the solidarities that are necessary if violence is to be avoided. Although he suggested that fundamentalism in some parts of the world may reflect ‘failures in decolonization’(Habermas, 2006, p 1), he has confessed in another context that his own proposals may not be readily applicable in settler colonial contexts. He seems to suggest that Indigenous cultures might need to be considered ‘external to egalitarian law’ in Western societies like the US, Canada and Australia (Habermas, 2008, pp 304-5). This chapter investigates some of the ‘failures in decolonisation’ in Australia, and also considers new opportunities that may be enabled by postsecular discourse. I argue that a political ethic of reconciliation focused on restorative justice can be informed by a variety of religious traditions, and that such a political ethic can address the gaps created by utilitarian policies. Along with Habermas, we may acknowledge at the outset that there is no easy way to integrate Indigenous cultures within democratic systems of government. The utilitarian norms that embrace the wellbeing of the majority, and which commonly underpin democratic arrangements, are manifestly inadequate when it comes to the protection of minority interests. Similarly, policies designed to address social disadvantage rarely stretch far enough into the past to address the historic injustices committed against Aboriginal peoples in settler colonial contexts.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.059
GPT teacher head0.361
Teacher spread0.302 · 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.

Study designNot applicable
Domainnot available
GenreOther

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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