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Record W2139542163 · doi:10.1177/0306312710385851

Problematizing the user in user-centered production: A new media lab meets its audiences

2010· article· en· W2139542163 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.

Bibliographic record

VenueSocial Studies of Science · 2010
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsProblematizationProduction (economics)Citizen journalismProcess (computing)Participatory designSociologyControl (management)Social mediaKnowledge productionComputer scienceKnowledge managementEpistemologyWorld Wide WebEngineeringOperations managementEconomics

Abstract

fetched live from OpenAlex

With the widespread implementation of ‘participatory’, ‘user-led’, and ‘user-centered’ principles in both the practice and study of technology production, it has become commonplace to treat users as partners in design. This paper is critical of that trend, arguing that the users of a technology in development must first be treated as objects rather than agents of social construction. It draws from a case study of a publicly funded British production-research laboratory in educational new media that was carried out during its first year of existence. The case study highlights some of the tensions and contradictions between the discourse and practice of user-centered design during an uncertain period in a project. By extending Callon’s concept of problematization to include the putative users of technologies in development, this study shows how producers distinguish and mediate between users and partners; how they sustain the notion that there is a group of users ‘out there’ whose existence and requirements can be substantiated prior to the creation of specific technical choices; and how user involvement in and of itself is used for the strategic purpose of enticing partners and asserting their control over the production process. By doing so, the paper affords insight into the practitioners’ belief in the need to gain ever more refined knowledge of specific users, and their recourse to their own experience as a necessary alternative.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.078
GPT teacher head0.333
Teacher spread0.255 · 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