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СИСТЕМА ІНДИКАТОРІВ УМОВ ПРОЖИВАННЯ НАСЕЛЕННЯ НА МІСЦЕВОМУ РІВНІ: ПРИНЦИПИ ФОРМУВАННЯ ТА ВИКОРИСТАННЯ

2021· article· uk· W3201423109 sur OpenAlex

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Notice bibliographique

RevueDemography and social economy · 2021
Typearticle
Langueuk
DomaineEconomics, Econometrics and Finance
ThématiqueLabor Market and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPopulationNoveltyComponent (thermodynamics)Quality of life (healthcare)Relevance (law)BusinessComputer scienceGeographyPsychologyPolitical scienceSocial psychologyEnvironmental healthMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The relevance of the article stems from the need to collect and systemize reliable objective information about living conditions of the population at the local level. A necessary condition for managerial decision-making in economy and social policy is reliable estimation of the population’s living conditions united territorial communities (UTC). The article aims to cover the principles of organization and use of a system of indicators for living conditions of the population at the local level. To achieve this aim, general scientifi c methods are used, namely the method of generalization and the system method. The novelty of the article is the formulation of the principles of systematization of information on living conditions at the local level in the form of a system of indicators and the defi nition the tasks of such a system, as well as data sources for implementation these tasks. Based on Ukrainian approaches, “living conditions” are defi ned as a component of quality of life, which includes three groups of indicators: housing availability, quality characteristics of housing and the level of development and accessibility of social infrastructure. Also, to take into account the European experience of studying the living conditions of the population at the local level, for subjective assessments of satisfaction with life of the local population in the settlement, a particular section is introduced in the system of indicators. The focus of this article is on the subjective component, namely the ability to measure life satisfaction in the community and ways to use such subjective assessments within the system of indicators of living conditions at the local level. Satisfaction with life in the settlement is defi ned as an individual’s assessment of quality of own life according to a criterion chosen in a certain way. Several approaches to measuring life satisfaction in the settlement are introduced: approaches in which satisfaction with life is measured on the basis of one indicator, and approaches in which several indicators are used. If satisfaction with life is measured by one direct question, it is one indicator, but in the case of several statements that the respondent evaluates on a certain scale, each statement is a separate indicator. In the further analysis of the collected data such indicators can be analyzed separately or simultaneously by building a general index. Based on the interpretation of the concept of “living conditions”, this article identifi es three objectives for a system of indicators of living conditions of united territorial communities (UTC): monitoring of living conditions, identifying key problems for UTC and comparing diff erent UTCs on the basis of living conditions of the local population. For the fi rst and third objectives, among the possible sources of information, data from registers are offered, and for the second purpose we off er expert surveys, focus group discussions, open group discussions. The problems of data representation are also discussed in this article. Despite the data being quite fragmented, the format of their presentation should be easy for users (both local authorities and community activists and the media). One possible way to present such data is the format used within methodology of citizen report cards. References: Cherenko, L. М. (Eds.) (2006). Riven zhyttia naselennia Ukrainy [The standard of living of the population of Ukraine]. NAN Ukraine. Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine; State Statistics Committee of Ukraine. Kyiv: Konsultant. Retrieved from https://idss.org.ua/monografi i/riven_juttya_ naselennya%20krainu.pdf [in Ukrainian]. Sotsialni indykatory rivnia zhyttia naselennia Ukrainy. Statystychnyi zbirnyk [Social indicators of living standards of the population of Ukraine. Statistical collection]. (2018). Kyiv: State Statistics Committee of Ukraine [in Ukrainian]. Libanova, Е. М., Gladun, О. М. … & Lisohor, L. S. (2013). Vymiriuvannia yakosti zhyttia v Ukraini. Analitychna dopovid [Measuring the quality of life in Ukraine. Analytical report]. Kyiv [in Ukrainian]. Quality of life in cities. Perception survey in 79 European cities. (2013). Luxembourg: Publications offi ce of the European Union. https://doi.org/10.2776/79403 Urban Europe Statistics On Cities, Towns And Suburbs. (2016). Luxembourg: Publications offi ce of the European Union. https://doi.org/10.2785/91120 The State Of Canada’s Cities And Communities. (2012). Federation of Canadian Municipalities. Retrieved from https://suma.org/img/uploads/documents/FCM%202012%20 State% 20of%20Cities%20and%20Communities.pdf Urban Audit. Methodological Handbook. (2004). Luxembourg: Offi ce for Offi cial Publications of the European Communities. Retrieved from https://ec.europa.eu/eurostat/ramon/ statmanuals/fi les/KS-BD-04-002-EN.pdf Regions at a Glance. (2013). OECD. retrieved from https://www.oecd-ilibrary.org/docserver/ reg_glance-2013-en.pdf?expires=1604570142&id=id&accname=guest&checksum=EA9 1910A605F108551E8EA4E726DE283 Regional Well-being: a user’s guide. (2018). OECD. Retrieved from https://www. oecdregionalwellbeing.org/assets/downloads/Regional-Well-Being-User-Guide.pdf Andreoli, F., & Michelangeli, A. (2015). Welfare measures to assessurban quality of life. Retrieved from http://www.ecineq.org/ecineq_lux15/FILESx2015/CR2/p150.pdf Local quality of life counts. A handbook for a menu of local indicators of sustainable devel opment. (2000). Department of the Environment, Transport and the Regions. London. Retrieved from http://library.uniteddiversity.coop/Measuring_Progress_and_Eco_ Footprinting/ Local%20Quality%20of%20Life%20Counts.pdf Diener, E. (1985). The Satisfaction With Life Scale. Journal of Personality Assesment, 49, 71-75. https://doi.org/10.1207/s15327752jpa4901_13 Khutka, S. V. (2007). Problema vymiriuvannia rivnia sotsialnoi adaptovanosti osobystosti: vyznachennia kliuchovoho indykatora [The problem of measuring the level of social adaptability of the individual: the defi nition of a key indicator]. Naukovi zapysky NaUKMA. Sotsiolohichni nauky — Scientifi c notes of NaUKMA. Sociological sciences, 70, 27-33 [in Ukrainian]. Levinson, А. (2007). Otkrytye gruppovye diskussii kak metod prikladnyh sociologicheskih issledovanij [Open group discussions as a method of applied sociological research]. Vestnik obshhestvennogo mnenija. Dannye. Analiz. Diskussii — Bulletin of public opinion. Data. Analysis. Discussions, 6, 45-54. Retrieved from http://ecsocman.hse.ru/ data/2011/01/14/1214868123/6.PDF [in Russian]. Methodological manual on city statistics. (2017). Luxembourg: Publications Offi ce of the European Union. https://doi.org/10.2785/708009 Citizen report card surveys - A note on the concept and methodology (2004). Social Development Notes. Participation and Civil Engagement, 91. The World Bank. Retrieved from https://openknowledge.worldbank.org/bitstream/handle/10986/11277/286010CRC0SD0 note 09101public1.pdf?sequence=1&isAllowed=y Lakshmisha, A. (2018). Citizen Report Card - A powerful social audit tool. Retrieved from https://www.civilsocietyacademy.org/single-post/citizen-report-card Ogay, М. Yu. (2010). Metodolohiia kartok hromadskoho zvituvannia yak instrument otsiniuvannia yakosti munitsypalnykh posluh [Methodology of public reporting cards as a tool for assessing the quality of municipal services]. Statystyka Ukrainy - Statistics of Ukraine, 2, 14-18. Retrieved from http://194.44.12.92:8080/jspui/bitstream/123456789/ 685/1/14-18_2%272010%2849%29_Ogay.pdf [in Ukrainian].

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,687
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,017
Tête enseignante GPT0,202
Écart entre enseignants0,185 · 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