The Pedagogies of Re-Use : The International School of Re-Construction
Bibliographic record
Abstract
The Pedagogies of Re-Use captures the amazing digital gathering of students, academics, practitioners, and activists that happened at the International School of Re-Construction. Involving over 100 people, from countries as far apart as Brazil, Canada, Ireland, UK, Spain, Germany, Greece, UAE, and China, the participants spent two weeks working in eleven teams to consider architectural propositions responding to the current climate and ecological emergency. This book documents the work of the eleven teams, considering the themes they pursued, the student projects proposed, and the final design ideas developed by each group. Supplemented with images of the work, the book also includes leading academics and professionals who supported the school and contribute their voices to these crucial issues of deconstruction, re-use, and adaptation. It is ideal reading for students and academics looking at the issues created by the climate emergency to which architecture must respond. The Pedagogies of Re-Use is part of an EU ERDF £4.33 million Interreg NWE project entitled ‘Facilitating the Circulation of Reclaimed Building Elements’ (FCRBE), Interreg NWE 739, October 2018– December 2023. Online publication: June 2024, London. The FCRBE project aims to increase the amount of reclaimed building elements in circulation within its territory by +50% (in mass) by 2032. http://www.nweurope.eu/fcrbe The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".