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Record W3094406055

Australian Photography and Transnationalism

2020· article· en· W3094406055 on OpenAlexaboutno aff
Anne Maxwell

Bibliographic record

VenueJournal of the Association for the Study of Australian Literature · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPhotographyPeriod (music)TransnationalismHistoryWhite (mutation)PortraitColonialismTravel writingArt historyGeographyVisual artsArtLiteraturePoliticsArchaeologyPolitical scienceAestheticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Until very recently, histories of Australian photography have remained primarily (and some would say stubbornly) nation-based, but this trend has begun to change under the impact of studies aimed at exploring the wider cultural influences impacting on the literature and artworks produced in the late colonial period.  In this paper, I explore some of the more obvious transnational features of late nineteenth and early twentieth century Australian photography using examples drawn from the two most popular genres of the day – portrait and landscape photography. Although I draw on only a few examples, it is enough to show that Australian photographers of the nineteenth century and early twentieth centuries were not just reliant on British conventions, they were also deploying the styles and conventions used by photographers in the other Pacific-based settler colonies of Canada, USA and New Zealand, a phenomenon that points to the increasingly connected world that was formed by what Caroline Elkins and Susan Pedersen have classed the white settler societies or ‘new world states’ of the Pacific region.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.294
Teacher spread0.265 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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