20:30 BRUXSELS TALKS
Bibliographic record
Abstract
On the 23rd of January 2020, a radio talk show of the future, 20:30 Bruxsels Talks, took place in Brussels. With fictional guests and artists from the year 2030, it discussed how the transition to a climate-proof city had happened since 2019. The body of this article is the script of this fiction piece, produced by BrusselAVenir and BNA-BBOT. In the introduction we explain the relationship between the field of futures studies and fiction, we frame 20:30 Bruxsels Talks within futures studies, and highlight the potential of fiction for knowledge creation and dissemination. By publishing the script, we hope to inspire researchers, changemakers and artists to explore fiction as a method, as a format and as a space, to trigger conversation and imagination, and engage citizens to take up a role in shaping the cities they live in. Note: This article should be read in conjunction with “20:30 Bruxsels Talks: Fiction as a Method, Fiction as a Format, Fiction as a Space,” written by the same author team and published in this issue.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.079 | 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; both teacher heads agree on what is shown here.
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".