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Record W6986509267

Planning to Participate: Exploring Discomfort in Participation

2015· other· en· W6986509267 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2015
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorVariety (cybernetics)Government (linguistics)PlannerOrder (exchange)Work (physics)Public participation
DOInot available

Abstract

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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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.021
Scholarly communication0.0110.011
Open science0.0030.016
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.055
GPT teacher head0.232
Teacher spread0.177 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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