Bibliographic record
Abstract
This document is a record of the exhibition by Martin Fowler and Billy McCall at the Vallum Gallery, University of Cumbria, Brampton Road, Carlisle, UK, which ran from 21 October to 1 November 2024. Drawing its title from Bertolt Brecht’s ‘War Primer’ (1937), the 'In The Dark Times' exhibition offers a critical counter to so-called liberal humanist society and the pernicious myth of progress. Referencing the oil industry, weapons manufacturers, the British Army and neoliberal ‘freeports’, this vivid, cartoony and often scabrous exhibition points to the legitimation crisis engulfing the governmental aristocracy and its potentially catastrophic impact on political and civil society. Taking inspiration from diverse sources such as Disney’s ‘Fantasia’, John Gray’s ‘Straw Dogs’, 1980’s amusement arcades and the poems of Tom Leonard, this ‘state of the nation’ report offers a critical and disturbing reappraisal of 21st century Britain and the stories we tell ourselves about ourselves.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.129 | 0.022 |
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".