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Record W1768692983

Over the Borderline: A Critical Inquiry into the Geography of Territorial Excision and the Securitisation of the Australian Border

2014· article· en· W1768692983 on OpenAlexfundno aff
Anthea Vogl

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
FundersMcGill University
KeywordsRefugeeTerritorial watersPolitical sciencePrinciple of legalityImmigrationIrregular migrationGeographyMaritime boundaryLawInternational lawEconomic geography
DOInot available

Abstract

fetched live from OpenAlex

5(1) (definition of 'migration zone') ('Migration Act'). 2Migration Act s 5AA(1).3Migration Act s 46A(1).Although 'unauthorised maritime arrival' is the current statutory designation as at 2015, I refer to those travelling by boat to seek residence in Australia in a number of ways, including as onshore asylum seekers, 'irregularly' documented arrivals and unauthorised arrivals.While all of these categories are inadequate, as they are homogenising and often defined from the perspective of the state, I switch between them and seek to avoid categorising all irregularly documented migrants as necessarily intending to seek asylum.4

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)0.010
metaresearch head score (Gemma)0.016
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 score0.070
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0290.095
Scholarly communication0.0170.020
Open science0.0030.012
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0040.000

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 head0.273
Teacher spread0.266 · 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

Citations23
Published2014
Admission routes1
Has abstractyes

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