The Building of a Temple: Constructive Engagement in a divided Community:Conflict and Constructive Engagement II
Bibliographic record
Abstract
‘Our desire was to involve a cross-community workforce in making something beautiful that means something to everybody.’ David Best. Derry-Londonderry is no stranger to the concept of burning, with bonfires very much a part of both loyalist and nationalist sectarian traditions. Spaces never considered to be shared never become shared and so the decision made at the start of the Temple project was to try and overturn that by reopening areas considered as 'no go'. In March 2015, creative producers Artichoke brought Burning Man artist David Best to the city of Derry-Londonderry. Together with volunteers from across the community (loyalist and nationalist) a shared structure was built that measured 72ft high before it was ceremonially burnt (see Figure, below). The burning of the Temple turned traditional associations with bonfire burning in Northern Ireland on its head. The Temple belonged to everyone: from the Kickstarter donors around the world who supported the project to the many people across Derry-Londonderry who helped build the structure and every single visitor who experienced it. It was the result of over two years of hard work and dedication from many people across the city and beyond. Figure: Temple in Derry-Londonderry The Temple afforded an opportunity for Derry-Londonderry’s highly divided community (a legacy of the 30 years conflict, the ‘Troubles’) to share in non-traditional concepts of burning; inclusivity, peace and letting go of the past. Through collaborative engagement a neutral space was created in a highly contested site close to a republican estate in the city. Everyone was invited to leave a memory behind, let go of the past and look to the future. Up to 60,000 people visited over the seven days it was open to the public, covering the inside of the structure and its pillar with personal messages. The vision of Temple was that the combined experiences of these stories, and the thousands of hours that local volunteers put into building it, would create a moving space for thought, reflection and contemplation. The objective of the project: bringing together creativity, community and real learning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.033 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.048 | 0.078 |
| Scholarly communication | 0.034 | 0.024 |
| Open science | 0.005 | 0.051 |
| Research integrity | 0.009 | 0.019 |
| 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".