Les paysages éphémères // Chantiers sous surveillance
Bibliographic record
Abstract
" Since 2015, artist Janie Julien-Fort has been making and installing hundreds of small pinhole cameras around construction sites, acting as makeshift surveillance cameras that scrutinize the progress of work over time. She uses the solargraphy technique: with no mechanism or lens, sunlight passes through a tiny needlehole to leave an imprint on photosensitive paper. Each image requires exposure times of several months. At the end of this long cohabitation with the landscape, the images reveal the randomness of movement, blurred zones and accidents of light. The flickering images evoke the fragility of photography and the passage of time, like the subtle traces left by the path of the sun. Published by Sagamie editions, This two-book set offers a poetic and theoretical journey through the artist’s approach, the Quebec landscape and the materiality of the photographic image. It includes the artist’s book Les paysages éphémères, the fruit of an artistic and literary collaboration between Janie Julien-Fort and author Claire Moeder, and the book Chantiers sous surveillance, presenting the artist’s process of micro-interventions in public space, with texts by Christian Roy and Francis O’Shaugnessy. " -- Artist'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 | 0.001 | 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 | 0.008 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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".