Bibliographic record
Abstract
This article chronicled the events that took place during the building of the Alaska Pipeline from Prudhoe Bay on Alaska's Northern Coast to the Port of Valdez. In particular, it highlighted the project management led by senior project manager Frank Moolin. The oil companies officially announced their plans to begin the pipeline in February 1969. The estimated cost was $900 million, and completion was targeted for 1972. Moolin was hired by Alyeska, the company formed to design and build the pipeline. The Alaska Pipeline project was launched with little more than a goal and no clear roadmap for achieving it. Project critics claimed that it was impossible to build an 800-mile pipeline through the Alaskan wilderness using conventional methods. In addition to facing obstacles, contingency scenarios, and timetable problems, the oil companies were stopped by environmental groups and Native Alaskans who had no intention of allowing the pipeline to be built on their land. In response, oil companies wanted to lay the pipeline underground, but geologists pointed out that a large portion of Alaska rests on permafrost that cannot support any weight when it thaws. Geological testing revealed that nearly 400 miles of the pipeline had to be built above ground. In January 1974, Frank Moolin's construction crew of 20,000 people began the preparatory work. First, a supply road was built through the northern half of Alaska, from the Yukon River north of Fairbanks to Prudhoe Bay. By March 1975, three million tons of pipe, machinery, spare parts, fuel and food were hauled in, and the pipe-laying began. Moolin motivated his workers and kept morale high throughout the difficult building process. For two years, Moolin kept the problem-ridden project on track. Twelve pump stations had to be built so that 800 miles of pipe could be welded together 40 feet at a time. On June 20, 1977, the valves at Prudhoe Bay were opened, and the first Alaskan crude oil began to flow. The final tab on the Alaska Pipeline project was $8 billion, 10 times the original estimate. 1 fig.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".