Bibliographic record
Abstract
Abstract | In her documentary photographs of Chinese restaurants in small-town Alberta, Elyse Bouvier recalibrates intimacy. Her photographs wrench the intimate out of the sphere of the domestic and the private and insert it into the realm of the communal and the public. They offer us a vision of the kind of intense relation that can exist between strangers—stranger intimacy. Moreover, the images assert a temporality that is necessary for this recalibration. Intimacy does not exist outside of time. These photographs insist upon, and demand, an understanding of intimacy that is not only strange, but also deeply structured by a complex temporality—a kind of uncanny double take or déjà vu. Bouvier’s photographs demand that the viewer pause and dwell in the déjà vu that they produce.Résumé | Dans son documentaire photographique sur les restaurants chinois des petites villes rurales albertaines, Elyse Bouvier réévalue l’intime. Ses images arrachent l’intime de la sphère domestique et privée et l’intègre à l’espace communautaire et publique. Ces images nous offrent une vision du genre de relation intense qui peut exister entre inconnus- intimité étrange. De plus, les images affirment une temporalité nécessaire à cette réévaluation. L’intime n’existe pas en-dehors du temps. Ces images demandent et insistent sur une certaine compréhension de l’intime qui est non seulement étrange mais aussi profondément construit par une temporalité complexe ; une sorte de temps d’arrêt troublant ou de déjà-vu. Les images de Bouvier exigent que le spectateur s’arrête et s’attarde sur le sentiment de déjà-vu produit.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".