Bibliographic record
Abstract
"Vincent Meessen is interested in History and in the construction of colonial modernity in the Western imaginary. Through a research process that is both systematic and speculative carried out in archives and on the ground, Meessen seeks to endow the document with a contextual agency. By linking it to people, objects and events whose intersection within a wide variety of media gives rise to new sensible experiences, the exhibition becomes a site for testing History in terms of the present. The resulting trajectories effectively skew received discourses, proposing rich transcultural and political rereadings and rewritings. [...] At the heart of the exhibition, is the projected film Ultramarine. Within a structure of layered textiles, blue is the chromatic, historical and discursive filter through which a performance by African-American poet Kain unfolds. The famed precursor of hip-hop in the late 60s delivers his 'spoken word' as the Belgian percussionist Lander Gyselinck improvises to the flow of his utterances. [...] These considerations connect with the figure and unfinished literary project Blues Clair by the late French writer and passionate critic of jazz and film, Patrick Straram who lived in exile in Montreal from 1958, after having participated in the Lettrist project alongside Guy Debord in Paris." -- p. 1.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.229 | 0.077 |
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".