The cradle of Sarawak’s oil industry and the Canadian ‘foreign drillers’
Bibliographic record
Abstract
Miri is the second-largest city in Sarawak and has been recognised as home of the Malaysian oil and gas industry for well over a century. Oil was first struck on 10 October 1910 and Canada Hill, where the first well was located overlooking the small settlement at the time, was reportedly named in honour of a certain Mr. McAlpine, a Canadian employee of the Anglo-Saxon Petroleum Company who was the field manager in charge of the drilling. It is also speculated that the hill’s name was attributed to the team of Canadian drillers working in the local oil industry in the early days of Miri. Either way, the name stuck and that is how this prominent limestone ridge and famous Miri landmark obtained its name. In this article, Curtin Malaysia Borneo Studies lecturer Terry Justin Dit tells of the inimitable Canadian oil drillers who brought their expertise and skills in oil extraction and left their mark on Miri with the now famous Canada Hill overlooking Miri city named in their honour. He also relates how the knowledge and skills the locals gained from these early pioneers and later generations of oil and gas professionals resulted in Sarawak exporting its own expertise in the field to other parts of the world
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".