Notice bibliographique
Résumé
With present financial concern and the increase of aging populations the French government has seen a way to support women in co-housing within buildings with moderate rents (HLM).This represents a significant saving, both for the women and the government as these women support one another with no medicalized need to the end of their lives. We investigated the charateristics, attributes and qualities for such successful co-housing as the model Babayagas House in Montreuil. It is extremely important to get a good grasp of the way people fit together. Many groups have tried similar endeavours in order to live more economically, yet few have lasted 12 years like the model housing in Montreuil. This is especially true in Canada. Friends have decided to share a house, and after three to five years it all falls apart. In all parts of the world similar attempts are being made. In Korea and China, it is usually wealthier people who get together. Retirement housing is expensive in Canada and often women who lost their spouse also lost additional income while finding themselves alone and struggling.This study is of a qualitative nature (Creswell & Poth, 2018). The outcome is an inventory questionnaire to be used for the selection of members of similar co-living arrangements. First we researched well-being questionnaires to identify a format that would best suit the targeted population.We then analyzed personal journals to uncover desirable characteristics. We also analyzed documents from the public domain pertaining to the housing arrangements as well as the House Charter, each member has to sign upon joining the Babayagas House.All categories were examined and emerging themes were used as items for the identification of relevant questions from an already existing well-being questionnaire.Questions were slightly modified for the convenience of an aging population.These questionnaires are further reviewed by people presently in retirement homes for annotations as regards their content and appropriateness.Findings show a number of characteristics that emerged from the data analysis which are deemed necessary for on-going harmonious co-living. It comprises 33 sections, from autonomy and responsibility to adherence to rules in an attempt to identify personal traits based on aspects that emerged from existing data, namely the participants journals and other documents through which these traits were deemed to be conducive to better co-living.Examples will be given. The results will be discussed in light of the findings of the analysis and also as they pertain to the annotated questionnaires from present residents in retirement homes.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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.
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 ».