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Record W2166709935 · doi:10.5539/jgg.v6n2p82

The Image of Australia: A Case Study on the Mental Maps of Turkish Immigrants in Sydney

2014· article· en· W2166709935 on OpenAlexvenueno aff
Cemil Gökten, İlkay Südaş

Bibliographic record

VenueJournal of Geography and Geology · 2014
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishImmigrationMental mappingSketchGeographyNatural (archaeology)PoliticsIsolation (microbiology)Gender studiesSociologyCartographyGenealogyPsychologySocial psychologyHistoryPolitical scienceLinguisticsMathematicsLawArchaeology

Abstract

fetched live from OpenAlex

In this study, mental representations of Australia were examined through mental maps in case of Turkish immigrants living in Sydney. The survey is based on 53 mental maps of Australia drawn by Turkish immigrants who reside in Sydney. The participants were asked to list the connotations about Australia, draw a sketch map of the continent and finally fill in an outline Australian map. A prominent difference between these two types of mental maps was in the number and in the categories (place names, natural-geographic elements and symbols) of the components that were displayed by the participants. On the other hand, a comparison of our study with similar academic works conducted from a European example shows that connotations on Australia are predominantly referred to the natural characteristics of the continent. This could be related to the physical isolation Australia as a continent and also to the political indifference tendencies of the urbanized part of the society because of a high living standard.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.127

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.247
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2014
Admission routes1
Has abstractyes

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