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Record W2252565793 · doi:10.5632/jila.78.603

Effects of Cultural Landscape Conservation and Utilization Activities on Residential Value Cognition -Shiga Prefecture Takashima City as a case-

2015· article· en· W2252565793 on OpenAlex

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

VenueJournal of The Japanese Institute of Landscape Architecture · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsJoseph Brant Hospital
Fundersnot available
KeywordsGeographyValue (mathematics)CognitionPsychologyComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

In Japan, the law for the conservation of cultural landscapes was established in 2005. 43 areas are selected as “Important Cultural Landscapes” by the Minister of Education. Cultural Landscapes are strongly influenced by the local people's lives and livelihoods. Therefore, residents’ participation is essential to promote the conservation of cultural landscapes. However, the residents’ perception of cultural landscape value is not so high, and that cause the problems to proceed the activity of landscape conservation and local revitalization. Therefore, this study aim to clarify the effects and the problems of conservation activity from the view point of residents’ participation and recognition toward Cultural Landscapes. We did Hearing survey with the municipal office and community organizations in Takashima City. As results, it is needed for many residential people to share the image of landscape creation and its need at the stage of before making the conservation plan of important cultural landscape. Moreover, through the half-forcibly participation of conservation activity organized by traditional council, residential people can foster awareness toward the conservation activity.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.361

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 head0.023
GPT teacher head0.248
Teacher spread0.225 · 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