MétaCan
Menu
Back to cohort
Record W7135582129

Future Places Toolkit:Augmented Reality (AR) software and performance/workshop activity for planning consultation and engagement.

2022· other· en· W7135582129 on OpenAlexaboutno aff
? ?, Duncan Speakman

Bibliographic record

VenueBristol Research (University of Bristol) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentStorytellingQuarter (Canadian coin)ArchitectureFutures contractExhibitionPublic engagementAppeal
DOInot available

Abstract

fetched live from OpenAlex

DESCRIPTION Future Places Toolkit uses AR on smartphones and science fiction storytelling to support participants to visualise what’s planned and co-create ideas for improvements to their neighbourhoods. As people describe what they want or how a development could be, they see what they imagine together appear immediately on their screens, sketched live by an artist who’s listening-in remotely and drawing in VR. They get to see what changes would be like visualised in AR, overlaid onto the place where the development is planned. And to explore what the changes would be like in 3D and in situ. ENGAGEMENT/PERFORMANCES •The AR engagement activity was run at 3 stages of planning process with Filwood Broadway Working Group (community organisation) & Bristol City Council, to support public consultation around improvements to this high street in Knowle West (2021-22), including 4 times at Knowle West Fest on Filwood Broadway, October 2022. •Run at Birmingham Settlement’s new Nature and Wellbeing Centre, in collaboration with the Design Thread and Learning Domain of Centre for Sociodigital Futures, as part of their Neighbourhood Futures Festival, July 1st, 2023. •Then 5 times over 3 days for Bristol City Council (BCC) as part of their Temple Quarter engagement. In light of success of this, the Temple Quarter Redevelopment Team have commissioned Clarke/Uninvited Guests to run the AR activity commercially for another 2 days in St Phillips. •Also part of the team, led by Architecture 00, which submitted the successful tender to BCC for the Filwood Broadway High Street Delivery Plan, which will use FPT for engagement, visualising improvements and consulting on scenarios as part of the Levelling-Up project in autumn 2024. •Invited presentation on Future Places Toolkit at Culture & Creativity Session of Open Living Lab Days (OLLD24), ENoLL (European Network of Living Labs) conference, ICAM, Timisoara, Romania.

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)0.003
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.248
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0030.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2480.087

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 head0.101
GPT teacher head0.348
Teacher spread0.247 · 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
GenreSoftware

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBristol Research (University of Bristol)French-language works237,207