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Record W7108332247 · doi:10.33011/tf.v14i2.4419

The Heritage Village: Sifting through Immaterial Histories of Land

2014· article· en· W7108332247 on OpenAlexaboutno aff

Bibliographic record

VenueTransformations · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsExpansiveExhibitionUncannyRepresentation (politics)PaintingArchitectureCultural heritage managementIndustrial heritageFunction (biology)

Abstract

fetched live from OpenAlex

This paper considers the immaterial aspects of the history of land as way to reimagine heritage. Through the heritage village – that imagined, artificial, and curated representation of history with very particular kinds of material iterations and legacies of the past – we consider the immaterial memories and histories that have becomes absent from the staging and design of heritage as collective history. We consider the way that these omissions function in the imagination of the present and future by turning to the site-specific contemporary art exhibition Land/Slide Possible Futures (2013). Located on the site of Markham Museum heritage village in Ontario, Canada, this expansive project reveals the imbricated histories of the rise of the heritage village and that of the suburb. Turning in particular to Duke & Battesby’s Always Popular, Never Cool and Terrance Houle’s There’s Things That Even a Drunk Will Never Forget, we argue for the heritage village as a lieu de mémoire, where memories are continuously unearthed, revealed, and imagined, and where artists transform archival collections and historical architectures into surreal and uncanny encounters with those pasts that are immaterial and absent from the facades of heritage.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.520

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 studies0.0010.000
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 head0.021
GPT teacher head0.215
Teacher spread0.193 · 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
Published2014
Admission routes1
Has abstractyes

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