Maze, Randy: my Canadian Navy recollections (March 15, 2011)
Bibliographic record
Abstract
ABSTRACT: The interview covers the beginning of Maze’s Naval Career, and then carries into the situation in East Timor, the referendum held by the UN and the results upset Indonesia. The Indonesian Army Invades East Timor and essentially destroys the country, which is when the Australian led U.N. Mission got involved to get the Indonesian Forces out of the Country and help rebuild and support the people and infrastructure. The HMCS PROTECTEUR was in charge of refuelling all of the naval vessels involved. The crew also partook in humanitarian work such a building schools and a reception centre. 0:00 – 3:03 Early Naval Career 3:03-7:00 Background info on the Crisis in East Timor 7:00 –9:17 Invasion by Indonesia 9:17 – 11:43 Getting Ready to Go In! 11:34-14:32 Setting Sail 14:34-17:03 Australia 17:03-35:21 East Timor 38:11- 39:55 Sent Home 44:12- 51:31 Humanitarian Work 51:31-1:06:29 Miscellaneous and End Questions
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.027 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.075 | 0.015 |
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".