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Record W2060223131 · doi:10.1145/2598510.2598534

The appropriation of a digital "speakers" corner

2014· article· en· W2060223131 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAppropriationSoftware deploymentDowntownComputer scienceContext (archaeology)Field (mathematics)Focus (optics)Set (abstract data type)World Wide WebPublic spaceBootstrapping (finance)MultimediaHuman–computer interactionEngineeringArchitectural engineeringHistoryBusinessLinguistics

Abstract

fetched live from OpenAlex

Interactive digital technologies embedded in urban spaces typically tend to be used to deliver news, context-relevant information and commercial advertisements. To design urban technologies that will serve other ends, we first need to know how people might want to interact with them. Using an ethnographic approach, we collected field data in order to better understand this. This study presents some of the findings of our qualitative evaluation of MÉGAPHONE, an interactive artistic installation deployed in a public space in downtown Montréal, Canada. In this paper, we provide thick descriptions of our detailed field observations and interviews with participants conducted over the ten-week deployment with a deep focus on how users appropriated this system. Our results highlight four public interaction strategies as a set of abstractions that suggest how people might want to make use of interactive public installations: place-making, self-representing, first-person news reporting and bootstrapping online presence with digital recordings.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.105

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Quick stats

Citations20
Published2014
Admission routes3
Has abstractyes

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