Josée Pellerin : Gagner des vertiges tout à son aise / Farouk Kaspaules : Traces
Bibliographic record
Abstract
"Two types of representation are discussed here simultaneously: the first, photographic, features the exterior of private residences while the other, in textual superposition, delivers clues to a scene unfolding inside this microcosm. The co-presence of image and text on the same surface generates a narrative relating to the secrets inherent in any domestic space. In order to stimulate the viewer's ability to produce narratives, the texts chosen go far beyond the usual status of legend and function as Polaroids, objective and unaffected snapshots. / Farouk Kaspaules' exhibition, entitled "Traces", focuses on the images and reality of the Arab population of the Marsh region and the Tigris and Euphrates region, extending all the way to Iraq from north in Kurdistan. The work of Kaspaules, a Canadian artist born in Iraq, a country he left in the mid-1970s for political reasons, plays the formal structural achievements of art with independent political content. The techniques used for this work stimulate us and give no graphic or easy answer. Each piece alludes to a moment of communion with the environment, highlighting moments of contemplation threatened by imminent danger. These images, executed and silkscreened on velum and paper, give the impression of having been subjected to the effect of several filters to evoke a feeling of human history that is fading, breaking up and erasing." -- Publisher's website.
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 | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".