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Record W2982229611

Nature Of Album Design

2019· article· en· W2982229611 on OpenAlexaff
Keira Zanbak

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsMacEwan University
Fundersnot available
KeywordsTypographyBalance (ability)Theme (computing)FeelingVisual artsAestheticsComputer scienceCover (algebra)Contrast (vision)LinguisticsArtPsychologyArtificial intelligenceWorld Wide WebEngineeringSocial psychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

For this Typography II project, an album cover for the band Nature Of was designed. The main idea behind the choices in the design of the album was to represent how the music conveyed a desire to find balance and to find a way to feel alright. The colours, and the way the papers interact together provide a laid back feeling and a good sense of contrast, which supports the main idea of finding balance. As you go further into the record, the text from the dictionary becomes more and more unreadable, and you have to find different ways to read it that are more unusual, kind of like how in the music things seem more difficult to understand the more they are kept inside. The different types of papers used to create each piece are some what like puzzle pieces, with some being more of a rough texture, some being ripped up or missing parts of the page, which once again supports the theme of struggling to find balance.   Faculty Mentor: Constanza Pacher Department: Design Studies

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)0.008
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.009
Scholarly communication0.0160.011
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0350.009

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 head0.103
GPT teacher head0.380
Teacher spread0.278 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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