Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While Singapore is not an oil-producing nation, it occupies an important role as one of the largest refinery hubs and the world’s busiest bunkering port for tankers and container ships. However, existing scholarship on petroculture has largely bypassed Singapore in its focus on direct representations of oil centred on upstream producers such as the United States, Canada and countries in the Middle East. This article traces the emergence and eventual disappearance of oil in Singapore’s visual culture through two moving images made separately in the late 1950s and the early 2000s. Comparing L. Krishnan’s film Orang Minyak (), which headlined a series of local films that featured the urban legend of the orang minyak (‘oily man’), with Tan Pin Pin’s documentary video 80km/h () allows us to consider the sudden eruption and eventual disappearance of oil in Singapore’s visual culture, set against the historical developments of Singapore’s oil industry. Of interest here is an attention towards both direct and indirect representations of oil. The article ends with a formal analysis of Tan’s 80km/h , through which I argue for a critical petro-aesthetics particular to Singapore itself, in thinking through its role as an important middleman in the global supply chain of petroleum and petrochemicals.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it