MétaCan
Menu
Back to cohort
Record W4409496912 · doi:10.1080/10331867.2025.2469418

Placing Amos Rapoport in the First Nations Cultural Landscape

2024· article· en· W4409496912 on OpenAlexaboutno aff
Ross Wissing

Bibliographic record

VenueFabrications · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCultural landscapeEnvironmental ethicsGeographySociologyEnvironmental resource managementEconomic geographyArchaeologyPhilosophyEnvironmental science

Abstract

fetched live from OpenAlex

From a Western perspective, the interwar and post-war periods of the 20th century were foundational in the establishment of formal built environment professions in Australia. The First Nations cultural landscape that these professions built on have existed for many millennia longer and are best known as Country. Architect, town planner and co-founder of Environment-Behaviour Studies (EBS) Amos Rapoport wrote numerous publications in the late 1960s and early 1970s that explored the relationship of Aboriginal and Western conceptions of the cultural landscape as part of his global comparative studies. However, unlike his fellow “anti-architect” Robin Boyd, and (Sir) John Buchan, little is known about Amos Rapoport. This paper explores Rapoport’s work, its influences and what it influenced, as well as its appropriateness today among the burgeoning First Nations publications relating to the Australian built environment. Finally, it places Rapoport among contemporary conceptual and theoretical investigations into the cultural landscape and proposes revisions to his EBS framework for future investigations into the Australian cultural landscape.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.388
Teacher spread0.345 · 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.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueFabricationsSame topicIndigenous Studies and EcologyFrench-language works237,207