MétaCan
Menu
Back to cohort
Record W1590369708

Map morphing: making sense of incongruent maps

2004· article· en· W1590369708 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

VenueGraphics Interface · 2004
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMorphingComputer scienceVisualizationSchematicComputer visionInterface (matter)Projection (relational algebra)OverlayComputer graphics (images)Artificial intelligenceData visualizationHuman–computer interactionEngineering
DOInot available

Abstract

fetched live from OpenAlex

Map morphing is an interactive visualization technique that provides a user-controlled, animated translation from one map to another. Traditionally, overlay mechanisms are used to present layers of information over a single projection. Map morphing provides a way to relate maps with significant spatial and schematic differences. This paper presents the morphing technique and the results of a comparative evaluation of map morphing against standard ways of presenting related maps. Our results demonstrate that map morphing provides additional information that can be used to effectively relate maps. In particular, significantly more tasks were completed correctly using the morphing interface than either a windowed or an inset interface.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.449

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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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