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Record W2804918907 · doi:10.1177/1470357218775127

What does knowledge look like? Interpreting diagrams as contemporary hieroglyphics

2018· article· en· W2804918907 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

VenueVisual Communication · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsRepresentation (politics)GraphicsGraphic communicationComputer scienceMeaning (existential)Object (grammar)Graphic designPsychologyArtificial intelligenceMultimediaComputer graphics (images)

Abstract

fetched live from OpenAlex

A significant challenge in interpreting and analyzing graphic representations is to understand the many reference points a graphically depicted object may have across its producer’s personal and cultural experiences. An individual’s exposure to socially constructed representations drives his or her propensity to use specific shared graphic objects, especially when attempting to articulate complex or abstract concepts. This multidisciplinary research study focuses on interpreting graphic representation types and analyzing the graphic objects individuals use to depict the abstract concept of knowledge. A sample of 833 individuals aged 5–65 participated in the study by constructing a drawing to answer the question, ‘What does knowledge look like?’. Engelhardt’s Language of Graphics (2002) graphic representation taxonomy was used to identify grouping and linking diagrams in the drawings. Next, graphic objects were coded and categorized within the drawings to identify the common representations, shared symbols, and non-depictive elements used to group and link. Using drawings fitting Engelhardt’s grouping and linking graphic representation types, and Tversky’s theories for constructing meaning through diagrams, this article examines how study participants combine and arrange common graphic objects to depict the concept of ‘knowledge’. The results illustrate that individuals organize and arrange common graphic objects into groupings to communicate taxonomies or hierarchies based on spatial proximity; or connect and link them together using glyphs (e.g. arrows, dotted or straight lines) to communicate causal relationships. The findings also demonstrate how individuals employ common socially constructed graphic representations (or objects) as a visual communication tool and, through the exercise of drawing, as a tool for meaning or sense making. The graphic objects possess a shared meaning that the participants have seen circulating within their culture. The common ground that emerges from sharing graphic objects suggests a form of contemporary hieroglyphics that communicates meaning both inside and outside the community.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.039
GPT teacher head0.381
Teacher spread0.342 · 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