The subjective and objective evaluation of accomodation in Latvia in the aftercrisis period
Notice bibliographique
Résumé
The most important wishes of people concentrate on the tendency to reach vitally significant factors (well-being, security, \nsustainability) that are realized through various channels – education, employment, family, material prosperity a.o.). \nOne of the basic needs of an individual is a need for a physical shelter or a dwelling, yet, a dwelling is not only a roof over the head - it is also \nan indicator of the life quality. In its turn, it includes also the location of the dwelling, its technical conditions, as well as the living space – all \ninfluences the quality of life. Thereby the satisfaction with the dwelling can be linked with the satisfaction with life and well-being. \nOn the side of the state accessibility to a qualitative dwelling is important to diminish depopulation, to promote the growth of the nation, to \nensure labour force mobility, development of new work places as well as decrease of poverty and rejection. Taking the above mentioned into \nconsideration The Latvian National development plan till 2030 is aimed at providing all households with dwellings that correspond to high standards \nof energoeffectivity, building, safety and conveniences (Cross-Sectoral Coordination Centre Republic of Latvia, 2020). \nThe aim of the article is, basing on the two recent surveys – 2011. and 2016. – EQLS (European Quality of Life Survey) inquiry data, to evaluate \nthe situation of the levels of satisfaction with accomodation and tendences in Latvia that in the survey are included in the section Housing. The \ninformation is supplemented with Latvia official statistical data that characterize the indicators of the objective residential situation thus drafting \nthe main problem questions of Latvia main residential market for further research. \nDescriptive and conclusive statistical analysis methods were employed in the research. The official statistics of Eurofond EQLS 2011 and 2016 \nsurvey databasis from the UK Data Archive, Latvia Central statistical office and Latvia Land Register as well as scientific literature were used. \nTo reach the aims the following tasks were set: \nTo make analysis of the scientific literature, \nTo evaluate the indicators of the EQLS surveys and correlations among them, \nTo offer characteristic tendences of residences and the residential market situation in Latvia in 2010.-2019. \nIt was stated in the research that satisfaction with the accomodation statistically significantly influences the quality of life. According to the data \nof 2016 in conformity with the general self-evaluation of inhabitants in the aftercrisis period the qualitative indicators about dwellings have \ngradually improved. The data of official statistics reveal quantitative and qualitative positive changes in the residential situation, the activity of the \nresidential market has increased as well. Nevertheless, in Latvia a considerable regional contentration of the residential fond is observed in Riga \nand outskirts of Riga, that is determined by the number of inhabitants and economic activity in the regions. \nThe obtained results have pointed to the directions and questions for further potential research.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».