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Record W2908765323

Issues of Participation: Exploring Ideals of Participation Through a Digital Design Project with a Public Library

2018· dissertation· en· W2908765323 on OpenAlexaboutno aff
Theresa Anne Costantino

Bibliographic record

VenueTSpace (University of Toronto) · 2018
Typedissertation
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsnot available
Fundersnot available
KeywordsDigital libraryPublic participationPolitical scienceSociologyPublic relationsArt
DOInot available

Abstract

fetched live from OpenAlex

Weak forms of ‘user involvement’ are often conflated with ‘participation’, eroding the personal, social and political potential of participation. In this thesis, I explore ideals of participation in the context of a digital design project to understand why digital teams that engage users in conventional human-centred design (HCD) may not adopt a more participatory approach such as Participatory Design (PD) that engages users in authentic participation based on mutual learning. As a foundation, I traced the parallel but distinct trajectories of HCD and PD, identifying tensions between them based on differences in ideals of participation. Drawing on a range of participatory practices, I also derived the Issues of Participation framework comprised of seven issues: goals, representation, power relations, context, effectiveness, transformations, and sustainability. I demonstrate that these issues can help distinguish PD from HCD. In my fieldwork, I took a Participatory Action Research approach by engaging digital designers on the Account Redesign Project (ARP) at the Toronto Public Library (TPL) as co-researchers. Through a series of workshops, we reflected on participation generally and within ARP. Our reflections shed light on differences in ideals between HCD and PD as well as some of the barriers to moving beyond HCD to engaging library members in more participatory ways. I found that my co-researchers adopted HCD’s pragmatic goal of involving users as informants in order to improve the digital product and had little awareness of PD’s democratic goal of engaging users in authentic participation that gives them a say, not just a voice. Nonetheless, within TPL, they were champions for the inclusion of library members in the design of services. My findings suggest that by addressing personal and organizational barriers, designers practicing HCD may adopt and champion PD. My thesis addresses deeply held concerns within PD about “how participatory a design project has to be so as to ‘qualify’ as a PD project” (Bratteteig Wagner, 2014, p. 117). I argue that distinguishing PD from HCD is valuable in raising awareness of the democratic goals of PD, reclaiming an authentic meaning of participation, and enabling users to achieve more ‘say’ in their future.

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)0.072
metaresearch head score (Gemma)0.045
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 score0.072
Threshold uncertainty score0.380

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0720.045
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0310.045
Scholarly communication0.0210.016
Open science0.0040.028
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.121
GPT teacher head0.329
Teacher spread0.207 · 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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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