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Record W1564476765 · doi:10.15353/joci.v10i3.3446

The ‘Urban Spacebook’ experimental process: Co-designing a Platform for Participation

2014· article· en· W1564476765 on OpenAlexvenueno aff
Corelia Baibarac

Bibliographic record

VenueThe Journal of Community Informatics · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsEveryday lifeCitizen journalismParticipatory designProcess (computing)Space (punctuation)Architectural engineeringCorporate governanceUrban designSociologyUrban planningICTSComputer scienceProcess managementBusinessPolitical scienceEngineeringInformation and Communications TechnologyCivil engineeringWorld Wide WebOperations management

Abstract

fetched live from OpenAlex

This article presents an experimental co-design approach carried out in Dublin, Ireland, which expands user participation to the design of digital technology employed in participatory e-planning initiatives. The approach focuses on city inhabitants’ everyday life experiences of urban space, uses a dynamic mobility lens and includes three spatial/technological experiments. This innovative co-design process informs an ICTs prototype platform for participation entitled ‘Urban Spacebook’. The platform provides viable opportunities for sharing everyday life experiences of urban space and also for enhancing the co-governance of such spaces, thus making a significant contribution in the area of participatory e-planning.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.311
Teacher spread0.251 · 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 teacher head, not a consensus.

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

Citations5
Published2014
Admission routes1
Has abstractyes

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