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Record W4362576257 · doi:10.22215/etd/2023-15361

Envisioning Post-Apocalyptic Futures: A Speculative Design Toolkit for Non-Designers

2023· dissertation· en· W4362576257 on OpenAlexaff
Anna Verhoeven

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsFutures studiesFutures contractVisionContext (archaeology)Face (sociological concept)Computer scienceManagement scienceEngineering ethicsWork (physics)EngineeringSociologyBusinessArtificial intelligenceHistorySocial scienceMechanical engineering

Abstract

fetched live from OpenAlex

This thesis discusses the applications of speculative design within a non-design context, examining the potential of speculative design as a medium in expressing post-apocalyptic environmentalist visions of the future. This thesis primarily consists of literature reviews and analysis of environmental futures and current speculative and foresight methods to understand the current barriers post-apocalyptic environmentalists face when attempting to imagine their versions of the future as well as how speculative design and design foresight methods could address these barriers. Finally, this thesis concludes with a proposal for a toolkit that adapts methods from speculative design and design foresight to deconstruct speculative design as a practice used only by experts into a medium that non-designers can potentially practice their work through.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.327
Teacher spread0.282 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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