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Enregistrement W6986509267

Planning to Participate: Exploring Discomfort in Participation

2015· other· en· W6986509267 sur OpenAlexaboutno aff

Notice bibliographique

RevueYork University Digital Library (York University) · 2015
Typeother
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGene expression and cancer classification
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFacilitatorVariety (cybernetics)Government (linguistics)PlannerOrder (exchange)Work (physics)Public participation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Planning methods designed to engage and encourage the active and meaningful participation of public individuals and groups have become more broadly valued and utilized in recent years. This increase has grown, in part, from an increasingly dissatisfied and civically aware public (Sorensen & Sagaris, 2010). Currently, in Ontario, there are very few formal planning exercises that do not require, by legislation, some level of public consultation. Concurrent with this shift many planning theorists have argued for and written about the benefits of including public citizens in the planning process. Resulting from this value-­‐laden policy shift several corporations and government organizations have in the past and continue to attempt to develop new and exciting strategies to more effectively engage with the public. The primary aim of this research project is to better understand some of the barriers, which inhibit meaningful public engagement, within the field of planning, in order to better understand how planners can work together with members of the public to begin to overcome these barriers. \n \nWhile there are many barriers to meaningful engagement, this research project will primarily focus on the barrier of fear. As will be explained throughout this project, fear, or more gently described as discomfort, experienced by both the planner or facilitator and the participants, has the potential to discourage public citizens from actively engaging with the planning of their communities. \n \nIn order to better understand fear, how it can inhibit meaningful engagement and how it can be overcome, this research project utilizes a variety of research methods. First a review of the relevant literature is used to identify and describe some of the advantages and disadvantages associated with public participation in the planning process. Relevant literature is also used to explain some common fears, which are experienced by planners and members of the public when they interact with one another in the process of planning. \n \nSecond, a series of semi-­‐structured interviews with professional planners and private facilitators are used to better understand what makes these individuals uncomfortable when they invite members of the public to engage. These interviews also allow planners and private facilitators to speculate, based on their experience, as to what makes members of the public uncomfortable with participation. \n \nThird, this research project utilizes a two-­‐part focus group with public citizens. The first session of the focus group allows participants to describe their experiences with the act of planning in their community and explain what has made them feel both uncomfortable and comfortable about the process. The second session has participants explaining how they believe the process can be improved in ways that would make them feel more comfortable and in turn would increase their likelihood to participate in the future. \n \nThe majority of the research was conducted in the municipality of Clarington. Clarington, which is located approximately 80 kilometres east of Toronto, is a medium sized municipality with a population of approximately 85,000 residents and is made up of a number of small-­‐urbanized communities including Bowmanville, Courtice, and Newcastle. Clarington also encompasses a number of rural settlements. \n \nThis municipality was chosen for a number of reasons. First, I was born and raised in Clarington and therefore have strong connections to both the place and a number of the people, including municipal planners, who live and work in Clarington. These previously formed connections have allowed me to make new connections more easily and in turn have helped me to carry out my research. Clarington was also chosen due to the receptive attitude of many of the municipal planners and politicians who work for Clarington. I was fortunate enough to complete my field experience as a student intern planner in Clarington. During this time I had a number of conversations with the municipal planners who informed me that they are always looking for new ways to work with members of the community to ensure they are able to participate in a meaningful way. This receptive attitude has aided in the progression of my research. Finally, Clarington was chosen because its size. As a relatively small municipality it carries with it a number of unique perspectives that are not found in larger urban centres such as Toronto. One such perspective provided by Clarington is the form of interaction that takes place between members of the public and the planning staff. Members of the public can, on any given day, speak directly with planning staff, even the director, by simply visiting the planning department. This as well as the other unique perspectives provided by Clarington has contributed positively to this research project. For these reasons I believe Clarington is a prime municipality for me to carry out my research. \n \nFinally, this project concludes with a toolkit, which includes a review and analyses of the comments and insight provided by all the interviewee and focus group participants as well as a review of different engagement strategies, which aim to better connect planners with members of the public by improving the relationship between the parties through open and direct conversation. This toolkit, referred to as Appendix C has been produced for and provided to all the participants involved in this research project.

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)0,025
score de la tête « metaresearch » (Gemma)0,046
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 enseignants0,025
Score d'incertitude au seuil0,135

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,046
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0090,021
Communication savante0,0110,011
Science ouverte0,0030,016
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,055
Tête enseignante GPT0,232
Écart entre enseignants0,177 · 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
Publié2015
Routes d'admission1
Résumé présentoui

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