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Record W3026805004 · doi:10.22215/etd/2019-13868

From A Tool For Making To A Tool For Thinking: Investigation of the Potential of 3D Printing in Meaning-Making

2019· dissertation· en· W3026805004 on OpenAlexaff
Spase Janevski

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsMeaning (existential)3D printingProcess (computing)Set (abstract data type)EngineeringHuman–computer interactionComputer scienceEngineering drawingMechanical engineeringPsychology

Abstract

fetched live from OpenAlex

The advances in 3D printing technology have an enormous potential to impact how designers learn and develop practical knowledge during the design process. The purpose of this research study was to investigate the potential of 3D printing as a tool for meaningful making. Through investigation of handmade objects and their qualities, this study set out to determine how designers can invent 3D printed objects that make sense to stand alongside handmade objects. Data for the study was obtained using both ethnographic and design research methods, including: an observation, experimental studies and a survey.

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)0.000
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: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.714

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 head0.036
GPT teacher head0.270
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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