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Record W3020916001

Shaping Vancouver 2019: Is Heritage Relevant?

2019· article· en· W3020916001 on OpenAlexaboutno aff
Angie Bains, Paul Gravett, Aneesha Grewal, Robert E. Lemon, Bill Yuen

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryGeography
DOInot available

Abstract

fetched live from OpenAlex

Is Heritage Relevant?\nThere is a significant disconnect between heritage as a discipline and heritage as practiced locally on the ground. As a discipline, heritage has changed considerably in recent decades. It has moved beyond traditional boundaries and intersected with issues such as equity, social values, climate change, housing, and community planning. Provincially, nationally and internationally, experts and experienced professionals consistently identify several core themes and explore their impact on practice:\n• There is a growing interest in heritage as a living system of relationships between people and place;\n• There is an understood need for greater attention to cultural diversity and how different cultural groups value heritage (e.g. First Nations, women, LGBTQ);\n• Classical heritage concepts around building preservation alone do not address contemporary societal needs and issues; resolution of these needs requires broader and more interdisciplinary approaches\nLocally, the heritage field in general is just starting to consider these broader ideas. \nCompeting meanings have been attached to heritage, and there are opposing views on the evolution of the discipline expressed. Some feel heritage has broadened too far while others feel strongly that heritage needs to continually re-examine its concepts in order to respond to current needs. This comes at a time when there is increasing questioning of the usefulness of heritage due to its traditional focus on preservation. In this third installment of Shaping Vancouver, we will examine the disruption taking place in heritage and the challenges it faces in remaining relevant.

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)0.004
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 score0.265
Threshold uncertainty score0.534

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0240.008
Scholarly communication0.0120.002
Open science0.0010.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0320.003

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 head0.041
GPT teacher head0.201
Teacher spread0.159 · 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
Published2019
Admission routes1
Has abstractyes

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