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Record W7032546122

Aerial Landscapes

2019· other· en· W7032546122 on OpenAlexaboutno aff

Bibliographic record

VenueRADAR (Glasgow School of Art) · 2019
Typeother
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsVisionPerspective (graphical)Event (particle physics)Context (archaeology)Agency (philosophy)Aerial photographyRelation (database)PhotographyWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

A one day event focusing on contemporary artists’ engagement with the Five Sisters’ Bings and specifically John Latham's approach to site from above as manifested in his 1975–76 APG placement with the Scottish Development Office. With contributions from Joy Sleeman, Katherine Jackson, Nicky Bird and Onya McCausland. 
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\nWhilst on placement as part of the Artist Placement Group with the Scottish Development Agency in the 1970s John Latham was invited to suggest solutions for the problem of derelict land outside Edinburgh. When asked ‘from which perspective would he be looking at Scotland’, he apparently pointed to a map of the country and responded ‘from this distance’. The aerial viewpoint, from war-time reconnaissance photography to our contemporary dependence on satellite navigational systems such as Google Earth, allows for a new consideration of the Earth’s aesthetic form; a perspective so compelling that it inspired artists from the 1960s, most significantly John Latham, to consider the site itself a work of art. However as conceptual art, land art and minimalism developed, the formal qualities of site became increasingly linked to its materiality, its complex natural, social and economic context could only begin to be understood through the holistic perspective of the aerial.
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\nThis event brings together artists and art historians who have developed research and practices born from a focused examination and integration of landscape and land use in relation to the aerial view. In the year celebrating the 50th anniversary of the moon landings, and as Google Earth becomes increasingly ubiquitous, this event will explore how visions of the Earth through the aerial have shaped consciousness and our sense of place and experiences of landscape. Building on evidence and material housed at the John Latham archive at Flat Time House this event presents significant current research findings and artworks that foreground consideration to longer temporal spans that question the idea that memory acquires depth when entangled with the physicality of site. 
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\nThis is a one day symposium where invited speakers will present their research in the form of papers, performance and artwork, followed by a panel discussion and questions from the audience.
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\nKatherine Jackson is a doctoral candidate whose institutional affiliation is University of British Columbia, Vancouver, Canada. Her thesis is on the Artist Placement Group, whose founders included Barbara Steveni and John Latham. 
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\nNicky Bird is Reader in Contemporary Photographic Practice at The Glasgow School of Art. Her work investigates the contemporary relevance of found photographs, the hidden histories of archives and specific sites.
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\nJoy Sleeman is Professor of Art History and Theory at the Slade School of Fine Art, whose research concerns the histories of sculpture and landscape, especially 1960s Land art. A current project, 'Future Land Art' concerns both the future of Land art and notions of futurity and anticipation in Land art from the 1960s and 1970s.
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\nDr. Onya McCausland is Leverhulme ECR fellow at the Slade School of Fine Art. Her practice exploits access to satellite navigational systems to examine perception of landscape with a particular focus on viewing materials and processes underway in otherwise hidden ex-coal mine sites across the UK.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0180.006

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 head0.008
GPT teacher head0.245
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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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