Interview with Lieutenant Navy Yves Lessard
Bibliographic record
Abstract
Narrator: Lieutenant Navy Yves Lessard Interviewer: John Thomson Interview Date and Location: Wednesday, February 28, 2024 and Wednesday, March 6, 2024 - 260 Albert Douville, Mont St-Hilaire, Quebec J3H5S9. Via ZOOM Synopsis of the Interview Lieutenant Navy Lessard initially joined the army reserves followed by enlistment in the RCN. He underwent arduous training as a Ship’s Diver and then became a Hull Technician and worked on several different ships. In order to advance his career, Lessard trained as a Clearance Diver. Lessard then describes the routine, everyday duties of a Clearance Diver. This is followed by explanations of how Clearance Divers assist other Branches of the CAF. He describes his involvement in the repatriation of wounded and deceased Canadian soldiers from Afghanistan as well as Clearance Diver assistance in the flooding of the Vallée du Richelieu, PQ. Career High-lights included achieving every rank, serving as Deputy Commander of the Recruit School, and completing military exchanges with the French Navy and the Belgium Navy. Interview Time Log: First Interview 02:04 – 04:00 – Early life and initial military career in the Canadian Army Reserves. 04:00 – 07:42 – Joined the Royal Canadian Navy Initial Posting and training as a Ship’s Diver. Posted to HMCS Protecteur followed by posting to HMCS Preserver. 07:43 – 10:07 – Definition of a Hull Technician. Responsibilities of a Hull Technician. 10:08 – 15:50 – Decision to become a Clearance Diver. Intense Preliminary Course. Clearance Diver Training. 15:52 – 27:24 – Routine, everyday tasks of a Clearance Diver. 27:29 – 39:26 – How Clearance Divers assist other branches of the CAF. 39:30 – 46:37 – Repatriation of wounded and deceased Canadian soldiers from Afghanistan. 46:38 – 50:25 – Clearance Diver assistance with the flooding of the Vallée du Richelieu, PQ. 50:27 – 58:36 – Career Highlights. Second Interview 1:00:47 – 1:13:34 – Exchange with the French Navy. 1:13:37 – 1:32:04 – Exchange with the Belgium Navy. Significant Stand-Outs in the Interview Initial training as a diver and as a Clearance Diver. Training standards. Everyday routine tasks of a Clearance Diver. Assistance to other branches of the CAF. Military exchanges with the French Navy and the Belgium Navy.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.041 | 0.008 |
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".