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Record W189181732

Technology and design: Vancouver Magazine before and after desktop publishing

2005· dissertation· en· W189181732 on OpenAlexaboutno aff
Tatiana MacNeill

Bibliographic record

VenueSummit (Simon Fraser University) · 2005
Typedissertation
Languageen
FieldArts and Humanities
TopicGraphic Design and Typography
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingDesktop publishingContext (archaeology)Design technologyDesign and TechnologyTechnological changeWork (physics)Information technologyEngineeringComputer scienceMultimediaPolitical scienceVisual artsHistoryArtMechanical engineeringSystems engineering
DOInot available

Abstract

fetched live from OpenAlex

This report examines the nature and dynamics of the relationship between technology and design on a practical level. Prompted by technological innovation, the report investigates the ways in which technological change appears to influence the practice of design. On a theoretical level, this report draws on the work of Herbert A. Simon who provides insight into the impact of technology on design. On a practical level, the report advances the relationship between technology and design by detailing the major influences of desktop publishing on publication design in the early years of its implementation. The manifestation of technology in design is explored through an analysis of the design of Vancouver Magazine, as well as an examination of information gathered directly from the past and current art directors of Vancouver Magazine that were present before, during, and after desktop publishing to provide context to the observed changes in production technologies and their influence on the design of Vancouver Magazine.

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)0.003
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0160.012
Scholarly communication0.0210.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.185
Teacher spread0.174 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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