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Record W7065717463

Exhibition floor talk | Terra

2024· article· en· W7065717463 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAustralasian Journal of Paramedicine · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMeaning (existential)History of artExposition (narrative)PhotographyVitalityCultural historyHistory of photography
DOInot available

Abstract

fetched live from OpenAlex

Terra is a solo photographic landscape history of Western Australia. At its core is the evidence, demonstrated through a series of photographic narratives, of the destruction of landscape since colonisation as a cultural act (hence the pun in the title). The dead and dying towns, the denuded terrain, the wreckage strewn across that landscape belong to a history that is gormless and ingenuous, brutish and pitiless, surreptitious, dishonest and inevitable. There are two compelling processes available to historians: one is to tell a story that has so far been lost or otherwise hidden. The other is to shift people’s perspectives so that old ways of thinking are discarded. This exhibition employs both. The panoramas explore the deep time of a landscape shaped by ice ages and fluctuating sea levels. The images depict events that indirectly play into the history of destruction, refusing to reveal meaning but implying that even acts of minor significance are inextricable from others that have dramatic repercussions. The works are created with film. Analogue cameras impose limitations upon the photographer, obliging him or her to calculate and compose, but the images can also have a rawness and vitality that digital work cannot achieve. John Toohey is currently a PhD candidate in Art History at Concordia University, Montreal, Canada, where he lived from 2012 to 2018. His thesis examines landscape history through Edwardian postcards. He has an M.A in Art History and an Honours Degree in History. His experience combines photography and landscape and social history, and recently includes the production of audiowalks, engaging listeners, readers and viewers in appreciating the hidden traces of the city around them. Toohey has exhibited and published his photographs in Australia and overseas and his work is held in national collections. His books and articles have had international success. In 2019 he won the Lawrence Wilson Art Writing Prize on Ailsa Lee-Brown’s portrait by Adelaide Perry. His book, Strange Encounters, will be published in the UK in early 2024.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.999

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)0.0020.000

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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