Bibliographic record
Abstract
Brennan was commissioned to explore the Mass Observation archive at the University of Sussex. The archive is the material evidence of the work first carried out by The Mass Observation Unit from 1936 onwards that formed an anthropology of everyday life in the United Kingdom. The research period of the project was 9 months and formed the basis of an Honorary Fellowship at UWN (where Brennan presented an additional research seminar and lecture to staff and students). The resulting suite of works combine a publication, photography, vinyl drawings, the curating of original archival material and the re-working of a fascinating account by British explorer and archaeologist T.C. Lethbridge of a concealed enemy presence in Cambridgeshire in 1940. Taking descriptions and drawings made by Lethbridge as a starting point, Brennan represents this data in the form of large, colourful maps inspired by the Isotype graphical system (Otto Neurath) developed in the 1930s. The commission exists as the first attempt by a visual artist to articulate the MO archive, which, until Brennan’s involvement had been focused upon by historians and literary figures only. The commission enabled a clear investigation into the material (plastic/visual) qualities of the archive and the forensic behaviours of researchers. In this respect it offers a valuable insight for all those involved in analysing the archive and the ways in which we conserve and develop our understanding of history. The work builds upon the strand in Brennan’s oeuvre concerned with artists working with and through archives. Two of his previous key works in this mode were with The National Maritime Museum (2002) and British Museum (2003)
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.034 | 0.006 |
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".