East Richmond, a proposal for heritage conservation of a rural landscape
Notice bibliographique
Résumé
In recent years, the conservation of rural landscapes has become an important concern, However, this concern usually takes the form of conserving the productive capabilities of the rural landscape. The conservation of Intangible values which rural landscapes also possess has largely been ignored. The fundamental concern of this paper is to identify and analyze a series of intangible values, specifically heritage values, within a rural landscape. The major purpose, herein, is to devise a heritage inventory of all the widely scattered and diverse scenic, cultural and historical heritage values of a specific rural landscape. Once the inventory is complete, the secondary purpose is to determine how the heritage can be conserved and enhanced while allowing necessary urban and rural development to continue. I chose the rural landscape of East Richmond as my case study. East Richmond, located on the urban-rural fringe of Greater Vancouver, is at a critical point in its agricultural development. Richmond's urban development, which had primarily been confined to West Richmond, is now encroaching on the fringes of the study area and reaching such a magnitude that the remaining scenic, cultural and historical heritage values of the rural landscape are now rapidly diminishing. Before the rural landscape's heritage values are inventoried, I examine the case study area in terms of its prehistory, location, natural features, development patterns, planning and land uses. This last characteristic of the landscape is integral to heritage conservation of rural landscapes, where agricultural land uses, which give the landscape much, of its heritage values, are generally encouraged, while land uses which are aesthetically or functionally incompatible with the rural landscape are discouraged. I based the method of this thesis on a scenic descriptive analysis method in order to inventory the landscape's scenic heritage values,, altering the method to reflect land uses, as well,as significant historical and cultural features, I subdivided the landscape into nine sub-areas or 'sensitivity zones,' based primarily on vegetation and present and future land uses in each zone, which are analyzed for their scenic, cultural or historical heritage values. I then determined landscape quality objectives for each sensitivity zone, ranging from preservation to modification, in order to re-emphasize the rural or natural landscape of East Richmond, conserving and enhancing the existing heritage. As a result of this research, I am convinced of the importance of suburban communities such as Richmond developing a sound heritage conservation program. The cultural, historical and scenic aspects of heritage must be addressed by the local government in order to achieve the greatest public benefit from planning in the rural environment. In order that this benefit is assured, I have outlined fourteen recommendations, which, if implemented, would not only help to conserve and enhance the existing rural landscape, but would also creates a more informed public and administration, together which form a more complete basis for the decision-making process. I conclude the thesis by examining the prospects for heritage conservation of rural landscapes, the planner's role in heritage conservation, and the need for further research.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,004 |
| Communication savante | 0,007 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».