Bibliographic record
Abstract
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?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".