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Record W2005885779 · doi:10.1068/a4085

Uninterrupted Views: Real-Estate Advertising and Changing Perspectives on Coastal Property in New Zealand

2008· article· en· W2005885779 on OpenAlex
Damian Collins, Robin Kearns

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReal estateAdvertisingNewspaperProperty (philosophy)GeographyPrivate propertyEstatePolitical scienceBusinessSociologyLaw

Abstract

fetched live from OpenAlex

This paper considers the landscape of coastal property in New Zealand through the lens of real-estate advertising. In analyzing a sample of 236 newspaper advertisements, it connects representations of coastal housing to broader concerns about the development of the coastline. Much public anxiety centres on the notion that coastal residential development and escalating property values signal private gain, but public loss. What is lost, it is claimed, is a landscape that is open, physically but also socially: the presence of imposing holiday homes detracts from the experience of going to the beach, and contributes to the unaffordability of staying at the beach. Such notions do not, of course, feature prominently in advertising. We find that views from private property over the coast are often prioritized in advertising, while the coast itself is typically portrayed as devoid of people. This invites viewers to place themselves in the image—as prospective property owners—and appeals to notions of going to the coast to secure privacy and opportunities for passive relaxation. Advertising for coastal real estate, we conclude, promotes a way of seeing the coastal landscape that is consistent with the ideology of enclosure.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.998

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 studies0.0000.000
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 head0.024
GPT teacher head0.247
Teacher spread0.223 · 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