Bibliographic record
Abstract
It's impossible not to think, even upon close inspection, that Olivo Barbieri's photographs aren't images of obsessively detailed architectural maquettes. The trees seem plastic, the cars resemble toys and the buildings look as though they would fall over if you so much as breathed on them. The Waterfall Project brings this unreal quality to landscape, specifically to such touristy waterfalls as Victoria (Zambia/ Zimbabwe), Iguazu (Argentina, Brazil), Khone Papeng (Laos/Cambodia) and Niagara (USA/Canada). In these disorienting images, the spectators on the crowded viewing platforms look like M & M's in a candy bowl, a cluster of toytown Pointillistic color against a backdrop of watery froth. The results are vertiginous and wonderfully bizarre. Critic Walter Guadagnini writes in the introduction: There is an evident technical expedient in this, and it is the choice to photograph from above, to place oneself in a privileged and anomalous condition. In the past, this expedient already gave rise to numerous readings, which range from acknowledging the historical roots of this perspective (going back all the way to Nadar's photographs from a hot-air balloon) up to the socio-political implications deriving from 9/11.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 teacher head, 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".