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Record W4318464565 · doi:10.3389/fcomm.2023.1063345

The “wall of text” visual structure of academic conference posters

2023· article· en· W4318464565 on OpenAlex

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

VenueFrontiers in Communication · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDisk formattingGraphicsGraphic designComputer scienceTypographyVisual mediaLibrary scienceMultimediaComputer graphics (images)Visual artsArt

Abstract

fetched live from OpenAlex

Posters created for conferences are a type of visual communication that are used frequently by academics. There are rarely any formatting requirements beyond fitting on their provided boards. Because posters are usually created by researchers rather than experienced graphic designers, the visual structure of conference posters may be influenced by the common format for journal articles, where text is given primacy over graphics and structured as “introduction, methods, results, discussion.” To test this, I examined award-winning posters from a large scientific society over 5 years of meetings. About three-quarters use the “Introduction, methods, results, discussion” format common to journal articles; about two-thirds use a columnar layout; most show multiple graphs and cite multiple references. Relatively few posters follow best graphic design practices, resulting in a “wall of text” on many posters.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.197

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 science0.0010.000
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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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