MétaCan
Menu
Retour à la cohorte
Enregistrement W2548291894

A new team for new challenges

2013· article· en· W2548291894 sur OpenAlexaboutno aff
Alessandra Faggian, J. Paul Elhorst

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRegional Development and Policy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnthusiasmLibrary scienceWork (physics)Regional scienceSociologyOperations researchPolitical scienceEngineeringComputer sciencePsychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

During the ERSA conference in Bratislava last August the RSAI Council appointed me as Editor in Chief of the Papers in Regional Science for the next three years. At the NARSC Conference in Ottawa at the beginning of November the new editorial team was chosen: Alessandra Faggian, Ohio State University, representing RSAmericas, Paul Elhorst, University of Groningen, representing ERSA, Takatoshi Tabuchi, University of Tokyo and Yoshi Hayashi, Nagoya University, representing PRSCO. The representatives of PRSCO have already served for one term, and accepted to continue for another three year term, guaranteeing continuity with the previous team. In addition, Eduardo Haddad, Sao Paulo University, was appointed as Book Review Editor. The new team has high potential. It is composed of relatively young people, willing to serve the journal with enthusiasm, ideas and time to dedicate to this work; the scholars appointed cover a wide spectrum of disciplines, from regional and urban economics, to transport and environmental economics, spatial econometrics, economic geography. Moreover, they are characterized by different and complementary approaches to regional science, from qualitative to modelling methods and tools; from conceptual to analytical theoretical frameworks. These features allow us to say that Papers in Regional Science will be able to handle all different kinds of regional science papers, as in the past. We inherit a journal well positioned in the international scientific world thanks to the work of the previous editorial teams. The impact factor of Papers in Regional Science, as well as the number of submissions and the number of papers downloaded, has steadily grown over the past six years. The number of pages per issue has also increased, allowing the time between on line and printed version publication to be shortened. On behalf of all the RSAI community, I would like to express my gratitude to Jouke van Dijk, previous Editor in Chief, and to all the members of the previous editorial team, for these invaluable achievements. This wealthy situation is an advantage for the new team. We can go on following the trajectories established by the previous team, and thanks to the exploitation of the good reputation that the journal has achieved, I am sure we will achieve good results. Our efforts will also be directed at strengthening some aspects of the journal, which call for specific attention, such as: (i) increasing the number of submission from authors based in the Pacific area where the journal’s presence is more limited (especially if compared to Europe); (ii) solidifying and reinforcing the journal’s position in North and South America. This would also require a clear analysis of the competitors in this area, so as to put in place a truly winning strategy; (iii) balancing the presence of papers in the different fields of regional science, which include not only economics – a traditional strong area of the journal – but also other disciplines. Some strategies can be foreseen to achieve these goals. For example, the allocation of special issues to highly qualified scientists in the Pacific and American areas or in fields other than economics; engage highly-qualified scientists from China and India in submitting papers and advertising the journal to other qualified scientists in the area. However, in a world of fierce competition as the one of international journals, the best strategy is to clearly specify the editorial nature of the journal. In particular, I have the ambition doi:10.1111/pirs.12012

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 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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,355
Score d'incertitude au seuil0,999

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 technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,090
Tête enseignante GPT0,347
Écart entre enseignants0,257 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetRegional Development and PolicyTravaux en français237 207