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Record W636288705 · doi:10.4018/ijskd.2014100104

Issues of Participation

2014· article· en· W636288705 on OpenAlexaff
Terry Costantino

Bibliographic record

VenueInternational Journal of Sociotechnology and Knowledge Development · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCitizen journalismParticipatory GISParticipatory action researchContext (archaeology)SociologyPublic relationsSustainabilityKey (lock)Engineering ethicsPolitical scienceManagement scienceComputer scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Members of the Participatory Design (PD) community often raise concerns about participation – participation in what, by whom, and for what purpose? To help determine and answer questions important to participatory practice, the author derived a framework of key issues of participation using literature from Participatory Design and related practices such as Participatory Action Research, Participatory Democracy and Participatory Development. The key issues are: values, representation, power relations, context, transformations, effectiveness, and sustainability. The author posits that giving attention to these issues when designing, conducting and reflecting on participation will improve participatory practices by making choices and compromises more explicit to those involved in the research as well as those who review the research results. The paper discusses how the author derived the framework and then uses the selected literature to explore each of the seven issues and how they can be addressed in participatory practice in general, and within PD more specifically.

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)0.115
metaresearch head score (Gemma)0.166
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.115
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1150.166
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0190.053
Scholarly communication0.0240.022
Open science0.0050.024
Research integrity0.0150.013
Insufficient payload (model declined to judge)0.0150.003

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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 designNot applicable
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

Citations3
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Sociotechnology and Knowledge DevelopmentSame topicInnovative Approaches in Technology and Social DevelopmentFrench-language works237,207