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Record W2989458114

Nature Of | The Mean | Album Design

2019· article· en· W2989458114 on OpenAlexaff
Jenelle LeBlanc

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsMacEwan University
Fundersnot available
KeywordsLyricsMeaning (existential)Guard (computer science)Reading (process)Visual artsAestheticsArtLiteratureHistoryComputer scienceLinguisticsPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

This record design uses a colour scheme and layout that reflects the way the lyrics fit seamlessly with the music. However, when you closer into it, the meaning is uncomfortable, much like the lyrics in The Mean. The dinosaur represents the idea that life is always changing and moving on. Even though we have Paleontologists dedicated to uncovering what life was like during the time of the dinosaur’s, there is not a way for them to know what life before us was really like and how it felt. That’s how it will be for us. All the moments expressed in this album become oddly poetic and valuable when you realize that in even 70 years, 20 years, or even a week’s time, the small moments will be slowly forgotten. For this reason, the dinosaur is placed upside down. It makes you stop and question the meaning behind it. The sky in the album is there as it represents so many different things to each of us. In a way it holds all of our secrets. Moving to the inside sleeve, the lyrics are placed in a way so that a person holding the record for the first time might not understand that they are reading the lyrics and become hooked. The line from the lyrics on the black and white side of the sleeve catches the viewer off guard because of the juxtaposition of an orderly, modern layout with the startling statement.   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 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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.411
Teacher spread0.330 · 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 designNot applicable
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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