Bibliographic record
Abstract
Narrator: Commander (Ret.) Desmond James Interviewer: Interviewed by Nick Jordan. Interview Date and Location: 24 February 2025 - Zoom Synopsis: 0:57 – 5:28: Early life, career, and education recruitment experience; perceptions of NCMs vs officers and early skills building. 5:28 - 7:30: First ship and path towards Public Affairs. 7:30 – 15:52: Re-aligning from MARS training to public affairs; the difference between the two experiences. South Deployment: interacting with the Mexican Navy. Early lessons from the Navy: Vessel in distress, scope of impact on US-Canadian relationships; purpose of Public Affairs for operational deployments. 15:53 – 18:20: First years as a PAO; Middle Eastern focus during J5 assignment; Operation Snow Goose interview; Judge Advocate assignment; Clayton Machee & Matt Stepford. 18:20 – 29:00: early signs of trauma; exposure to traumatic events through Public Affairs; The adversarial nature of Public Affairs. 29:01 – 33:00: Volunteering for Afghanistan deployment; pre-deployment experience; first impressions of Kabul. 33:23 – 39:00: Relevance of PAOs in operational zones and fighting for relevancy. Pressures of PA in operation. 39:20 – 46:10: Deaths of Canadian LAV crewmembers; disinterest of media in non-operational stories and resulting frustration. 46:19 – 50:23: Personal blog. near-miss with a donkey; pink carpets at the governor’s palace and blog shut down by command. 50:24 – 1:03:50: Experience as a Pakistani ex-pat interacting with Afghani allies and locals. 1:03:50 – 1:06:52: Reflections on impact of local interactions. 1:06:52 – 1:11:55: First symptoms of PTSD; flashback on Halloween; emotional dysregulation; first assignment after Afghanistan. 1:11:55 – 1:15:37: 2017 – 2018: friends encourage treatment a decade after deployment; ‘sub-threshold’ PTSD. Experience with a base hospital doctor, delaying treatment to pursue French courses. 1:15:37 – 1:17:03: Official diagnosis and early support. 1:17:21 – 1:18:58: A comparison of American and Canadian mental health systems. 1:18:58 – 1:20:40: Reflecting on the scope of PTSD in the service and perceptions within the military. 1:20:40 – 1:22:56: Impressions of mental health programs; lack of personal resonance. 1:22:57 – 1:28:00: Reflections on current experience with PTSD, sources of trauma, indirect exposure to trauma; everyday exposures to triggers. 1:28:18 – 1:32:36: Personal trauma; potential suicide bomber; differentiating between personal and secondary trauma; medical release from CF. 1:32:36 – 1:35:40: Transition from the forces to veteran advocacy. 1:35:40 – 1:42:31: Reflections, direction of the CF, and closing remarks.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.087 | 0.021 |
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".