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Record W2602908169

Global growth agendas: regions, institutions and sustainability

2015· preprint· en· W2602908169 on OpenAlexaboutno aff
Nicola Francesco Dotti

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityLibrary sciencePolitical scienceLatin AmericansPublic administrationPublic relationsLaw
DOInot available

Abstract

fetched live from OpenAlex

IntroductionThe 2015 Regional Studies Association (RSA) Conference took place in Piacenza (Italy) from 25-27 April, under the theme 'Global Growth Agendas: Regions, Institutions and Sustainability'. The conference was hosted by the 'Universita Cattolica del Sacro Cuore' gathering both academics and policymakers. In an intense 3-day programme, with plenary sessions focused on three main topics: well-being and quality of life, technological and social innovation, and food, agriculture and regional development. These topics were chosen in the framework of the 2015 EXPO organised in Milano to address the challenge of 'Feeding the Planet, Energy for Life'. Piacenza provided a concrete example to combine quality of life and economic development in a medium sized city with about 100,000 inhabitants. In order to introduce the conference, the RSA in cooperation with Taylor and Francis prepared a review of recent articles from Italian scholars.1 This conference confirmed the growing activities of the RSA, announcing the first Chinese conference (November 2015) and a new division for Latin America as well as new funding schemes.Conference organisation and main contributionsThe RSA conference is an excellent opportunity to gather scholars and policymakers discussing regional issues in a very friendly environment, enabling scientific discussions and exchange of ideas. Despite a growing number of participants, the RSA conference remains a place where contacts are easy and cross-disciplinary fertilisations possible. The 2015 RSA conference focused on the twenty themes presented in Table 1. Within a very rich program, this report focuses primarily on plenary sessions where prominent scholars and experts addressed three main topics.2Well-being and quality of lifeIn the first plenary session, Philip S. Morrison (Victoria University of Wellington, New Zealand), Filomena Maggino (Universita degli Studi di Firenze, Italy) and John Helliwell (Vancouver School of Economics, Canada) discussed different dimensions of well-being and quality of life from an urban perspective, focusing on difficulties in providing indicators.In the first presentation, Morrison started from the observation that well-being varies across cities and countries. The first remark is that in the developed world well-being seems to be associated with smaller urban size; whereas, in the developing world, this relationship is reversed. This introduces a paradox because, in the developed world, large urban areas are the engine of growth, but with lower well-being. Second, the distribution of well-being within urban areas varies significantly. Using a microeconomic approach, Morrison argued that well-being varies depending on absolute and relative income, as well as age, gender and other dimensions that need to be explored by future research.Maggino presented a project entitled 'Benessere, Equo, Sostenibile' (BES),3 led by ISTAT, the Italian statistical institute. This project aims to select and collect a broad array of indicators on 'well-being, equity, and sustainability' (corresponding to the Italian acronym 'BES') through a participative process, which involves universities, institutional stakeholders and experts. The major challenge is how to operationalise concepts like individual quality of life, social and community development as well as risks and resilience for sustainability. An interesting side project is the development of indicators for Italian metropolitan systems.In the third contribution, Helliwell started his presentation asking the audience to sing. By this very entertaining introduction, he showed the influence of emotions on the perception of life, as determined by the funny and unusual situation. He highlighted another paradox: certain disasters, such as an earthquake, can push people to cooperate and develop generosity, helping them to recover from the disaster and significantly improving their perceptions and well-being. …

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.700
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.093
GPT teacher head0.415
Teacher spread0.322 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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