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Record W7067465332

From Metacartography to Metaatlasgraphy

2022· other· en· W7067465332 on OpenAlexaboutno aff

Bibliographic record

VenueQucosa (Saxon State and University Library Dresden) · 2022
Typeother
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsThematic mapSemioticsMultidisciplinary approachCartographic generalizationMainstream
DOInot available

Abstract

fetched live from OpenAlex

Metaatlasgraphy is a new theoretic-epistemological concept with synthesis of cartographic/cartosemiotic traditions and atlasgraphic/ atlassemiotic traditions. The monograph presents a new trend from a map-centric concept to a multidisciplinary atlas-centric concept. Further, it projects a new metascience direction: from metacartography to metaatlasgraphy.:Table of contents Introduction 4 1. Cartography 1970s-2020s: Digitalitization, Semiotization, Ubiquitization... 5 1.1. Selected scientific structures and concepts of cartography (1970-2020) 1.2. About paradigmatic transformations of cartography 1.3. Critical cartography as post-critical paradigm 1.4. Cybercartography: Canadian model of interactive atlascartography and theory- technological concept 2. Theoretical-Semiotic Evolution in Cartography 2010s - 2020s without Mainstream Cartography 15 2.1. Cartographic thinking and cartosemiotics 2.2. Atlases and atlascartography 2.3. Semiotic-related atlassing 2.4. Evolutionary trajectories in cartography and cartosemiotics 3. New Atlassemiotic Тrend: Photoаtlassing 35 3.1. Ubiquitous thematic photoatlases 3.2. Semiotik of photoatlases 3.2.1. Structure-semiotic features of photoatlases 3.2.2. Derivative photoatlases 3.2.3. Photoatlas design of one, two and three slide/parts layout 3.2.4.Methodic-analytical photoatlases 3.2.5. Meta-photoatlases 3.2.6. On robotic photoatlases 3.3. Cyberphotoatlassing – a new interdiscipline synthesis 3.4. Photoatlas science as academic discipline 4. About Metaatlasgraphy 59 4.1. Models of metatheoretical research and metacartographic epicenters 4.2. From metacartography and metacartosemiotics to metaatlasgraphy 4.3. Metaatlasgraphy 4.3.1. Terminological aspects 4.3.2. From cartosemiotic models to atlassemiotic models 4.3.3. Structural model of metaatlasgraphy 4.3.4. New metatheoretic epicenters 4.3.5 Metaatlasgraphic democratic principles 5. Conclusion 70 6. References 72 7. List of selected photoatlases 77 8. Short atlas semiotic dictionary 78 9. Information-semiotic profile and potential of book 81

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.000

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 head0.009
GPT teacher head0.190
Teacher spread0.181 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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