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Record W1495218369 · doi:10.26686/wgtn.17008177.v1

Layered Pasts: Cultural Heritage Landscapes in Cities

2014· article· en· W1495218369 on OpenAlexaboutno aff
Kendra Manning

Bibliographic record

VenueFigshare · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPlacemakingCultural heritageArchaeologyHistorySociologyArchitecture

Abstract

fetched live from OpenAlex

This thesis aims to understand how indigenous heritage values might be represented in post-colonial urban environments. Using an urban design and landscape architecture lens, this paper builds on an emerging body of heritage knowledge in an attempt to recognize the contrasts between western and indigenous heritage values.\n\nThrough the study of a selection of indigenous landscape precedents from America, Canada, South Africa and New Zealand, common representational trends of heritage design are identified. These examples illustrate some of the issues that arise when landscapes of indigenous significance are presented within a western heritage framework.\n\nThe documents, Tapuwae and Te Aranga: Māori Cultural Landscape Strategy are introduced as guides to Māori intangible heritage. These guides are discussed in relation to the New Zealand urban design and heritage discourse. Contemporary outcomes of this current heritage climate include Waitangi Park and Pipitea pa. These are discussed and found to possess a number of values contributing to a positive approach to indigenous heritage design within Wellington’s challenging urban environment.\n\nTo continue this discussion, 39 Taranaki Street becomes the site of a design exploration. In 2005, three ponga (silver tree fern) whare (houses) of Te Aro pa, were unearthed on this site. The whare are the only known physical trace of the Taranaki whānui’s pa (village), which stood from 1835 to 1902. The whare are currently preserved in-situ as part of an apartment complex. The design concept is to link the past layers to the current and future development of the site and its precinct in order to celebrate the close connection between the past and the present that intangible heritage practices facilitate.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.010
Scholarly communication0.0110.006
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.111
GPT teacher head0.238
Teacher spread0.127 · 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 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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