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Record W2401695734

Multi/Touch/Device MindMapper : Digitalisierung von Kreativprozessen. Natural User Interfaces für kollaborative Mehrbenutzer Software am Beispiel einer Mind-Mapping-Anwendung

2013· article· de· W2401695734 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIngénierie des systèmes d information · 2013
Typearticle
Languagede
FieldBusiness, Management and Accounting
TopicDigital Innovation in Industries
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceHuman–computer interactionUser interfaceHumanitiesArtOperating system
DOInot available

Abstract

fetched live from OpenAlex

Dieser Beitrag stellt den Multi/Touch/Device MindMapper (MTD MindMapper) vor: eine Mind-Mapping-Umgebung aus Smartphones und Tabletop- System. In einen digitalen Prozess zur kreativen Ideenfindung werden bekannte Metaphern der analogen Welt in ein Natural User Interface (NUI) integriert. Anhand der Ergebnisse einer ersten Evaluation der prototypischen Umsetzung werden Herausforderungen und Moglichkeiten einer benutzerfreundlichen Implementierung eines multi device-Systems fur die Zusammenarbeit mithilfe von Interaktionstisch (multi touch tabletop) und Smartphone diskutiert.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0120.062
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.021
GPT teacher head0.245
Teacher spread0.224 · 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