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Record W6917696362 · doi:10.58066/rqx0-aq74

Interview with Lieutenant Navy Yves Lessard

2025· other· en· W6917696362 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNavyClearanceTechnicianDemobilizationRepatriationWife

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0410.008

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.

Opus teacher head0.031
GPT teacher head0.279
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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