MétaCan
Menu
Back to cohort
Record W4399102791 · doi:10.1080/01426397.2024.2358251

‘When the whirlwind is moving over the sand’: poetic surrealism of Atacama’s archaeological landscapes

2024· article· en· W4399102791 on OpenAlexaffabout
Francisco Rivera, Damir Galaz-Mandakovic

Bibliographic record

VenueLandscape Research · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsUniversity of Toronto
FundersFondo Nacional de Desarrollo Científico y Tecnológico
KeywordsDesert (philosophy)GeopoliticsArchaeologyPoetryPoliticsWhirlwindAridSpace (punctuation)HistoryGeographyArtEcologyLiteraturePolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Since the nineteenth century, the Atacama Desert in Northern Chile has been a space of geopolitical tension, asymmetrical socioeconomic power, and a territory for mining extractivism. The knowledge of its natural and cultural resources was assembled by scientific expeditions defining and configuring what we understand as a ‘desert,’ a peripheral empty and arid space ready to be occupied and exploited. The irruption and expansion of capitalist extractivism created a particular idea of landscape and reconfigured its socio-political contours. Archaeological, scientific, and artistic expeditions actively participated in this ‘becoming desert’ process. This article examines some trajectories constituting the Atacama Desert as an extractive and sacrificial territory. We propose the notion of ‘surrealistic landscapes,’ and we use the poetry of the Chilean Canadian poet Ludwig Zeller to highlight the surreal condition of contemporary materialities, constantly feeding the archaeological imagination of Atacama.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.040
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.099
GPT teacher head0.352
Teacher spread0.253 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueLandscape ResearchSame topicCultural and Social Studies in Latin AmericaFrench-language works237,207