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Record W2149588749 · doi:10.1002/meet.14505001002

The concept formerly known as information (the panel)

2013· article· en· W2149588749 on OpenAlex
Jenna Hartel, Karen Pollock, Rebecca Noone

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

VenueProceedings of the American Society for Information Science and Technology · 2013
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStatus quoTypographyThe artsIdentification (biology)Information scienceSociologyComputer scienceVisual artsLibrary scienceArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract This session introduces a new approach to the concept of information, utilizing an arts‐informed, visual approach. 137 graduate students from a North American iSchool were asked “What is information?” and responded by drawing upon a 4” by 4” piece of paper, coined an “iSquare.” The drawings of information () were analyzed using compositional and thematic analysis techniques adapted from precedent visual studies. The results include the identification of the most common graphical representations used to express information, as well as three themes pertaining to the social, technological, and “informational” dimensions of information. This panel employs the iSquare study and its outcomes as a springboard to engage – afresh – the concept of information today. After the original research is reported, invited experts from information science, museum studies, and social epistemology will offer commentary. “The Concept Formerly Known as Information” is a riff on the antics of American singer‐songwriter Prince, who in 1993 changed his name to an unpronounceable glyph and was called (for a short time) “The Artist Formerly Known as Prince.” This panel seeks a similar jolt to the status‐quo when the concept of information is transformed from word to image.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.003
Scholarly communication0.0010.008
Open science0.0020.001
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 head0.010
GPT teacher head0.262
Teacher spread0.251 · 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