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Record W4240827593 · doi:10.22215/etd/2016-11421

Material Memory

2016· dissertation· en· W4240827593 on OpenAlexaboutno aff
Michelle McKenna

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsAppropriationFutures contractNarrativeFutures studiesIndustrial RevolutionEconomyPolitical scienceArchitectural engineeringEngineeringSociologyHistoryArchaeologyBusinessEpistemologyArt

Abstract

fetched live from OpenAlex

Through the depression, the Second World War, and the postwar decades of expanding scientific research and economic growth, the Energy Mines and Resources Complex in Ottawa stood at the forefront of Canadian technological research and innovation. Shuttered since 2001 , the complex—a collection of remarkable historic buildings made for research and development—now stands empty.Material Memory explores narratives of Canada’s modern industrial history. The project investigates the potential of rerepresentation, through the creation of a physical archive of the complex and the artefacts located therein, to deepen our understanding of place. Purposeful appropriation of, and additions to the historical EMRC buildings provide means for reimagining the futures of urban industrial complexes and governmental sites.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.008
Scholarly communication0.0130.008
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1250.021

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 head0.068
GPT teacher head0.237
Teacher spread0.169 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same topicCultural Heritage Management and PreservationFrench-language works237,207