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Record W4389083300 · doi:10.3384/ecp203041

Unmaking the user journey. Fostering alternative Service Design futures

2023· article· en· W4389083300 on OpenAlexaff
Stefano Maffei, Chiara Del Gaudio

Bibliographic record

VenueLinköping electronic conference proceedings · 2023
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsCarleton University
Fundersnot available
KeywordsService designFutures contractPluralService (business)Focus (optics)Service delivery frameworkComputer scienceKnowledge managementSociologyEngineering ethicsProcess managementBusinessPublic relationsPolitical scienceEngineeringMarketing

Abstract

fetched live from OpenAlex

This paper bridges the discussion on a more ethical Service Design practice with the one on Dominant Design. It points out the neo-liberalist and late-capitalist roots of Service Design, which are often a barrier to envisioning ways for the discipline to be more inclusive and sustainable. A closer analysis of the user journey, the backbone of Service Design practice, highlights its critical structural issues and how it informs potentially harmful processes and outcomes. The exclusive focus on user and human-centredness prevents service designers from embracing an ecosystem, plural and antihegemonic practice.

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)0.023
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0150.045
Scholarly communication0.0260.032
Open science0.0020.025
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0120.004

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 head0.085
GPT teacher head0.310
Teacher spread0.225 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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