MétaCan
Menu
Retour à la cohorte
Enregistrement W4295665722 · doi:10.5194/ica-abs-5-11-2022

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

2022· article· en· W4295665722 sur OpenAlexaboutno aff
René Sieber, Lorenz Hurni

Notice bibliographique

RevueAbstracts of the ICA · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGeographic Information Systems Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFirewall (physics)TearingComputer scienceComputer securityBusinessEngineeringFinance

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,043
score de la tête « metaresearch » (Gemma)0,068
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,087
Score d'incertitude au seuil0,290

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0430,068
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0060,004
Études des sciences et des technologies0,0100,005
Communication savante0,0270,078
Science ouverte0,0090,027
Intégrité de la recherche0,0060,009
Charge utile insuffisante (le modèle a refusé de juger)0,0870,031

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,288
Écart entre enseignants0,265 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAbstracts of the ICAMême sujetGeographic Information Systems StudiesTravaux en français237 207