Ken Lum : Works with Photography = Ken Lum : Le travail de l'image
Bibliographic record
Abstract
Curator Scott situates Lum’s art (mainly photography) on the Canadian and international scenes, while tracing his evolution from his beginnings, in the 1970s, to the present. Derksen establishes a direct link between Lum’s work and globalization, considering the artist as an observer of the urban territory, where the consequences of this phenomenon are most apparent. The author underlines how the artist reinterprets the notion of “home” – which no longer refers simply to nation and place – in his images of “urban facts”. List of works; texts in English and French. Biographical notes. 25 bibl. ref.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.002 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; both teacher heads agree on what is shown here.
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".