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Enregistrement W2916346768 · doi:10.29173/iq949

Failure as the treatment for transforming complexity to complicatedness

2019· article· en· W2916346768 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueIASSIST Quarterly · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGeographic Information Systems Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnthusiasmComputer scienceData scienceGeospatial analysisWorld Wide WebPsychologyGeographyCartography

Résumé

récupéré en direct d'OpenAlex

Welcome to the fourth issue of volume 42 of the IASSIST Quarterly (IQ 42:4, 2018).
 The IASSIST Quarterly presents in this issue three papers. When you know how, cycling is easy. However, data for cycling infrastructure appears to be a messiness of complications, stakeholders and data producers. The exemplary lesson is that whatever your research area there are often many views and types of data possible for your research. And the fuller view does not make your research easier, but it does make it better. The term geospatial data covers many different types of data, and as such presents problems for building access points or portals for these data. The second paper also brings experiences with complicated data, now with a focus on data management and curation. I would say that the third paper on software development in digital humanities is also about complicatedness, but this time the complicatedness was not overcome. Maybe here complexity is a better choice of word than complicatedness. In my book things are complex until we have solved how to deal with them; after that they are only complicated. The word failure is even among the keywords selected for this entry. Again: Read and learn. You might learn more from failure than from success. I find that Sir Winston Churchill is always at hand to keep up the good spirit: ‘Success consists of going from failure to failure without loss of enthusiasm’.
 From Canada comes the paper ‘Cycling Infrastructure in the Ottawa-Gatineau Area: A Complex Assemblage of Data’ that some readers might have seen in the form of a poster at the IASSIST 2018 conference in Montreal. The authors are Sylvie Lafortune, Social Sciences Librarian at Carleton University in Ottawa, and Joël Rivard, Geography and GIS Librarian at the University of Ottawa. The article is a commendable example of how to encompass and illuminate an area of research not only though data but also by including the data producers and stakeholders, and the relationships between them. The article is based upon a study conducted in 2017-2018 that explored the data story behind the cycling infrastructure in Ottawa, Canada’s capital city; or to be precise, the infrastructure of the cycling network of over 1,000 km which spans both sides of the Ontario and Quebec provincial boundary known as the Ottawa-Gatineau National Capital Region. The municipalities invest in cycling infrastructure including expanded and improved bike lanes and paths, traffic calming measures, parking facilities, bike-transit integration, bike sharing and training programs to promote cycling and increased cycling safety. The research included many types of data among which were data from telephone interviews concerning ‘who, where, why, when, and how’ in an Origin-Destination survey, data generated by mobile apps tracking fitness activities, collision data, and bike counters placed in the area. The study shows how a narrow subject topic such as cycling infrastructure is embedded in complicated data and many relationships.
 Ningning Nicole Kong is the author of ‘One Store has All? – the Backend Story of Managing Geospatial Information Toward an Easy Discovery’. Many libraries are handling geographical information and my shortened version of the abstract from the article promises: GeoBlacklight and OpenGeoportal are two open-source projects that initiated from academic institutions, which have been adopted by many universities and libraries for geospatial data discovery. The paper provides a summary of geospatial data management strategies by reviewing related projects, and focuses on best management practices when curating geospatial data. The paper starts with a historical introduction to geospatial datasets in academic libraries in the United States and also presents the complicatedness involved in geospatial data. The paper mentions geoportals and related projects in both the United States and Europe with a focus on OpenGeoportal. Nicole Kong is an assistant professor and GIS specialist at Purdue University Libraries. 
 Sophie 1.0 was an attempt to create a multimedia editing, reading, and publishing platform. Based at the University of Southern California with national and international collaboration, Sophie 2.0 was a project to rewrite Sophie 1.0 in the Java programming language. The author Jasmine S. Kirby gives the rationale for the article ‘How NOT to Create a Digital Media Scholarship Platform: The History of the Sophie 2.0 Project’ in the sentence: ‘Understanding what went wrong with Sophie 2.0 can help us understand how to create better digital media scholarship tools’. For the first time we now have failure among the keywords used for a paper in IQ. The Institute of the Future of the Book (IFB) was a central collaborator in the development of the Sophie versions. The IFB describes itself as a think-and-do tank and it is doing many projects. The Kirby paper gives us a brief insight into the future of reading, starting from basic e-books in the 1960s. When you read through the article you will note caveats like lack of focus on usability and changing of the underneath software language. The article ends with good questions for evaluating digital scholarship tools.
 Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing such a presentation, give a thought to turning your one-time presentation into a lasting contribution. Doing that after the event also gives you the opportunity of improving your work after feedback. We encourage you to login or create an author login to https://www.iassistquarterly.com (our Open Journal System application). We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the limited number of session participants and will be readily available on the IASSIST Quarterly website at https://www.iassistquarterly.com. Authors are very welcome to take a look at the instructions and layout:
 https://www.iassistquarterly.com/index.php/iassist/about/submissions
 Authors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.
 Karsten Boye Rasmussen - February 2019

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,835
Score d'incertitude au seuil0,880

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,048
Tête enseignante GPT0,330
Écart entre enseignants0,282 · 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