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Record W7038387321

Imagings on Sydney's edge, myth, mourning and memory in a fringe community

2012· other· en· W7038387321 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Online (University of Wollongong) · 2012
Typeother
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyDreamSettlement (finance)Metropolitan areaIllusionPerceptionQuarter (Canadian coin)Cognitive reframingNarrative
DOInot available

Abstract

fetched live from OpenAlex

Sydney’s metropolitan fringe is a theatre for the creation and loss of collective memories, cultural myths and community grieving around cultural icons, traditions and rituals. European settlement took the dreaming of the Aborigines and then had its own dreaming removed by an invasion from the east in the form of Sydney’s urban growth. The re-making of place in and around the fringe community of Camden illustrates the destruction and re-construction of cultural landscapes. Locals dream of retaining the aesthetics of an inter-war country town and in doing so have created an illusion of a historical myth of a ‘country town idyll’. In the new suburbs of Oran Park, Mt Annan and Harrington Park urbanites have invaded the area drawn by developer spin, which promised to fulfil hopes and dreams and never really lives up to the hype. Unfulfilled expectations mean that Sydney’s rural-urban fringe is a zone of transition where waves of invasion and succession have created perceptions of reality and all that is left is imaginings.

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.007
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.002

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 head0.041
GPT teacher head0.293
Teacher spread0.251 · 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
Published2012
Admission routes1
Has abstractyes

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