Notice bibliographique
Résumé
In 2018, Baker-Brown was invited by Rotor (a Brussels-based research group, design studio and consultancy) to join their bid for €4.3million funding from North-West Europe INTERREG for their project which aimed to facilitate the increase in reclaimed building elements from 1% today, to 50% by 2032. Baker-Brown was invited due to his own experience and expertise in the worlds of teaching, researching and practicing around re-use, low carbon, and closed-loop circular systems thinking in the built environment. In turn Baker-Brown was keen to be involved because Rotor have an unrivalled reputation as world-leaders in the field of building deconstruction, and crucially, for enabling the reintroduction of second-hand materials and components into the construction industry supply chain. The project was named ‘Facilitating the circulation of reclaimed building elements’ in North Western Europe, or FCRBE for short. Another attraction for Baker-Brown and his University of Brighton colleagues, is that one of the main remits of EU-funded INTERREG projects is to encourage genuinely inclusive innovation and knowledge exchange in industry & academia, across international-boarders. The digital School of Re-Construction ran from 02nd-13th August 2021. 24 academics and practitioners ran 11 separate teams of students. In addition, we had 8 public lectures and debates given by internationally-renowned experts in the field of re-use and designing-out-waste. These events were attended by the 110 participants of the summer school, as well as a further 250 external visitors. All recordings of the live events, together with details of the team leaders and the themes they pursued, can be seen on the International School of Re-Construction website. This book will capture the amazing digital gathering of students, academics, practitioners and activists that happened in August 2021. Curated by a team based at the University of Brighton, and part of a 5 year-long EU-funded INTERREG FCRBE project worth over 4.3 million Euro, the School of Re-Construction involved over 100 people, from countries as far apart as Brazil, Canada, Ireland, UK, Spain, Germany, Greece, UEA and China. They spent two weeks working in 11 teams to consider architectural propositions responding to the current climate and ecological emergency. This inspiring project was, in effect, a COP-type gathering of people committed to finding ways humans can exist in harmony with our host planet. However, unlike COP26 (etc), we all stayed in our home towns and learned how to use digital platforms to collaborate, thus avoiding the huge carbon footprint that is a consequence of flying around the world in the name of sustainability. This book will document the work of each of the 11 teams, with all team leaders writing chapters describing the themes they pursued, the projects their students brought to the summer school, as well as the final design ideas developed by each group. These chapters will be supplemented with images of the student’s work, as well as they own thoughts on the experience. As well as evidencing some of the huge amount of work from this summer school, the book will consider how, for example, a student from Rio de Janeiro can work successfully, with a student from China on a project based in Athens?
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 | 0,006 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,025 |
| Communication savante | 0,012 | 0,014 |
| Science ouverte | 0,002 | 0,013 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,005 |
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 ».