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Farmers making sense out of a cartographic landscape: Like a patchwork of clothes, rather than just chunks of... parcels

2012· dissertation· en· W1543156623 sur OpenAlexaboutno aff
Johannes van der Weijst

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2012
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueGeographic Information Systems Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSensemakingContext (archaeology)StakeholderInterpretation (philosophy)AmbiguityGeographyKnowledge managementEngineeringComputer sciencePolitical sciencePublic relationsArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Planning maps are not only, as is often silently assumed by planners, neutral technical tools to assist them in their design and analytical tasks or to communicate their findings to others. In complex multi-stakeholder planning processes maps are also inherently coloured representations of knowledge, the outcomes a specific way of learning resulting from the activity of mapping itself, and discursive means through which norms and interests are promoted as objective truths. \nThis thesis research explored how members of a local stakeholder group representing farm business made sense out of, and judged the data quality of planning maps in a combined highway planning and environmental impact study in southern Ontario, executed by the province’s Ministry of Transportation. More specifically it was concerned with how participants evaluated the cartographic representation issues of interest to them in the context of a mayor decision in the transportation study: the location of the highway route, in which both its existing route and new route sections through rural lands were options. The research instruments were a map review workshop and a questionnaire. \nThis research was theoretically underpinned by a framework that integrates three fields of knowledge: cartographic theory, planning theory, and theory on knowledge and sensemaking. The framework served as a sensitizing concept for the analysis and interpretation of the observations obtained from research participants. All three fields were explored with an emphasis on social constructivist understandings which facilitated the understanding of situations characterized by complexity and ambiguity where certain and objective knowledge becomes impossible and where the perspectives and interests of multiple stakeholders come to the foreground. \nThe spatial data on the study cartography in general was judged as correct. The big exception was the data on water-related phenomena. Here participants, although they were familiar with the area, had access to the reviewed cartography for more than two years, and were well aware of the importance of water-related issues in the decision-making process, only during the workshop became aware that the data, recently released by an official data source, were strongly outdated. The findings confirmed the usefulness for planning processes of the simple review procedure followed in the workshop. \nThe process of sensemaking by participants focussed strongly on two areas. First, the central issue of the group: the recognition of agriculture as strong and relevant business deserving recognition equal to urban businesses. Second, on an issue that was not part of the goals of the study, the identification of needs for compensation, not only for loss of assets, but also for ongoing increases of operational costs. Participants, in contrast to the study’s thematically organized overlay analysis which resulted in a fragmented determination of impacts based on readily available public information, emphasized the need to use the farm (business) as a functional whole against which to measure impacts, considering its overall operation and viability. In the workshop it became clear that determining impacts on a complex entity like a farm is equally complex, and hard to map in a comprehensive way. Using maps not for a comprehensive analysis but for learning by illustration or example, however, offers opportunities in these cases. In practice this would require a review of what is considered as legitimate knowledge in formal decision-making. \nParticipants attitudes towards (the representation of) nature showed to widely divergent, and attachment to place was virtually not touched upon. The emphasis on agribusiness seemed to stem not only from material interests, but was also strongly related to identity. \nParticipants judged that the study cartography reflected a strong urban bias. They found that agriculture was underrepresented compared to urban economic and ecological interests and sometimes also misrepresented. Numerous suggestions were made to include new layers of data in the cartography, and to visually emphasize already included data related to agriculture. Although some information was found as redundant, is was above all the lack of more detailed information on agriculture and agribusiness that participants emphasized as issues they would like to see corrected. Whereas some data on some issues where emphasized as missing altogether, in other cases, notably in drainage, participants emphasized missing complementary perspectives. Information suggested by participants to be included mostly served to emphasize the importance of the agricultural sector as a whole and to spare it from impacts, but would create both technical and political difficulties if it were to be used for the comparison between different route options through rural lands. \nDifferent types of metaphors played an important role in the sensemaking process by the participants. Some participants followed more rational approaches to sensemaking that emphasized the correctness and information content of the data, while others seemed to be stronger ware of the strategic-discursive role of the maps. Many participants judged the study cartography as little explicit and highly ambiguous in many aspects, an observation for which a plausible explanation is the MTO’s needs to make decisions not only based on technical evaluations, but also taking into account strong informal political forces which required the study team to be able to review its positions if necessary and justify them largely based on the maps. \n \nBased on the research some recommendations for better public map use are suggested in order to make better use of the potential of cartography in planning to facilitate learning and mediation between multiple perspectives and interest. \nFuture research, using anthropological methods, observing the process of creation and use of maps in planning in action is suggested as important to move beyond the limitations of perspectives that emphasize maps as representations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,073
Score d'incertitude au seuil0,145

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,014
Communication savante0,0090,005
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,021
Tête enseignante GPT0,246
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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