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Record W3129458860

Exploring Non-Traditional Typography and Visual Narrative Through Ray Bradbury's "Cistern"

2020· article· en· W3129458860 on OpenAlex
Shae McMullin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudent Research Proceedings · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicGraphic Design and Typography
Canadian institutionsMacEwan University
Fundersnot available
KeywordsNarrativeConversationTone (literature)TypographyLiteratureArtCharacter (mathematics)Representation (politics)LinguisticsVisual artsHistoryPhilosophyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The imagery in this story informed the treatment of the type. “The Cistern” by Ray Bradbury is about a pair of sisters discussing the idea of a macabre couple living in a city that exists in a cistern. The bleeding ink on the spread gives the illusion that the pages were submerged in the same way the woman in the cistern is described. It emphasizes important parts of the spread and attracts the readers eye to these parts of the page. The title, thebeginning, and the reveal that the fictional man and woman are dead, in particular. The arrangement of individual repeated words gives these themes emphasis. The physical representation of rain through its arrangement underlines the motif of water in the story. The word love is used twice in the second column: once by Anna with relish and then by Juliet with an unimpressed tone. The italicization and tracking of the word emphasizes both tones and helps to give each character a voice in the reader’s head. Similarly affecting the syntax of the narration, the bold treatment and the lowering of the baseline of dead helps to emphasize the word in the reader’s head and calls attention to the repetitive use of the word by Bradbury. The placement of the paragraphs in the first two columns clearly is formatted to highlight the conversation between the sisters. It also subtly creates a flow as the eye of the reader travels between paragraphs, reminiscent of the “ripply” quality of water that Anna later imitates with her hand in the air. The last column of text becomes more dense as the paragraphs all span further. This coincides with Anna’s dialogue becoming more dense as she becomes more enthusiastic in her story-telling. The last paragraph washes away off the page just like the litter in the rain water Anna is describing. Faculty Menor: 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.369
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.563
GPT teacher head0.393
Teacher spread0.169 · 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