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Record W4295665722 · doi:10.5194/ica-abs-5-11-2022

Future National Atlases – Strategies for Tearing Down the User’s Firewall

2022· article· en· W4295665722 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueAbstracts of the ICA · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFirewall (physics)TearingComputer scienceComputer securityBusinessEngineeringFinance

Abstract

fetched live from OpenAlex

National atlases have a long tradition; first copies were published in the 19th century (e.g., National Atlas de Finlande in 1899), and they consisted initially only of a series of topographic maps. In the mid 1950ies, the IGU/ICA commission under the lead of Prof. Salitchev propagated a rigid scheme for the map content, consisting of the five categories: Physical environment, Population, Economy, Culture, and Administrative structure (Ormeling 2022). Large format printed atlases were produced, the aim being to demonstrate the power and the beauty of the country. Still today, some national atlases follow basically this structure, sometimes slightly adapted or extended with new categories like Traffic and Ecology. Common to all of these national atlases are well curated atlas maps with a strict display order, and manly addressing the people of the own country, sometimes also used for nation building. With the emergence of electronic national atlases in the 1990es (e.g., Atlas of Canada, Atlas of Spain, Atlas of Sweden), the concept of interactivity was established in atlas GUIs and maps. The benefit of such an interactive design was achieved by changing the map layers, and through the combination of map layers. Around the year 2000, 3D visualizations became possible (e.g., Atlas of Switzerland). These features in digital atlases allowed users to create never-before-seen maps, and exploration of the map content with the help of free navigation, as well as compilation, analysis and comparison of maps and map elements (Hurni and Sieber 2018, Sieber et al. 2019). At the same time, the focus of national atlases shifted from the (propagandistic) nation's viewpoint to a more individual socio-cultural perspective, which is determined by the interests and needs of atlas users. However, with the transition from physical copies (book, CD-ROM, DVD) to publication on the Internet, the visibility of digital national atlases has decreased dramatically. Their use also stagnated because national atlases were not used as an everyday tool, as national and regional geo-browsers -some of which are competitors of an atlas -are today. The plan to install national atlases as an SDI frontend (Kbben 2017) has failed in large part, only the Atlas of the Ukraine is still following this strategy (Putrenko 2022). In addition, there are many internal challenges, inter alia static GUI design, an overload of atlas features, and repetitive visualization (Sieber and Losang 2020). Now, what could be the solution to solve this dilemma? How can we make national atlases more visible, more attractive and more integrated into daily life? We can try to solve this essential challenge with two propositions, one of them is basically a top-down approach, the other one a bottom-up approach. The goal of both approaches is to "tear down the firewall between the visualized data and the user", as Ian Muehlenhaus (2022) recently postulated. In the Top-down Approach, we rely on a customized application, specialized in terms of content, tools and topicality. The maps of such an atlas should cover mostly current events and changes. Thus, people are getting interested and hopefully stay tuned. The thematic focus could be on didactics or geo-sciences, for example, presented in a popular way. This enables the visualization of actual data and current issues. The Bottom-up Approach is apparently more user-driven. It aims to open the national atlas concept to a wide audience, trying to integrate them in the atlas building process. Only the basic technology and instalments like base maps, import/export functionality are provided by the atlas makers. The users themselves define the maps by contributing to the map content, or by assigning the atlas authors to produce maps they are interested in. This approach could be very demanding, since a moderator and/or a quality control is needed. Two further points have to be considered: the way and form of distribution and the fields or key roles of action. Regarding the distribution, a web-based publication is a must, but it can be combined with a printed version (either as a single book or as a series of booklets/ magazines). The most important thing here is: the content of both publication forms must be tailor-made, meaning that the digital version is not only an excerpt of the printed version and vice-versa.

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 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 score0.542
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.024
GPT teacher head0.288
Teacher spread0.265 · 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