Hughes, Bill: my Navy recollections (October 31, 2008)
Bibliographic record
Abstract
ABSTRACT: Rear Admiral Bill Hughes Hughes_B_0563_01.mp3 0:10 Introduction of interviewee and his career 4:50 First heard about Unification 5:20 Hellyer went to London and talked with staff college. "I thought he was a dreadful man." 6:07 "I was in sea jobs, most of the time. I didn't get involved with the terrible trauma that was going on mostly in NDHQ 6:27 NDHQ experience 6:45 "I got out of there very quickly." 7:06 First impression of 'Integration", not "Unification". Didn't mind the idea. 8:15 Discussions with others. 8:45 Pearson and resignation of Officers. 9:20 Resignation of Officers (Interviewee's wife enters and the recorder is paused) 9:45 Meeting in Halifax. Story about Adm Brodeur. 10:30 NDHQ, first experienced Unification "A complete disorganized shambles." 11:28 Problems with the HQ organization 11:47 Story about his rank as 'Colonel' in the Navy. 12:35 Analogy that if he wanted to destroy an Enemy Army he would implement Unification and have completed the task. 13:10 Public confusion. 13:20 Questions from all three messes "'Sir, why do we need to wear the green uniform when we are visiting aboard and nobody knows who we are.' They were ashamed to wear it ashore." 14:00 Passed this information in. Not believed? 14:08 Survey conducted. 14:40 "It was a very emotional thing to do, putting us all in green uniforms." "Unification was supposed to save us money. It didn't save us money at all. The way they saved money was by cutting DND budget." 15:15 Moral problems as well Army managed to maintain moral, because the maintained regimentals. 15:55 No Association with CF. "It's too big an organization; it's hard enough to associate with the army or the Navy." 16:30 First uniform issued. 18:00 Day to day job. Changed depending on job. The only time it really effected was while at NDHQ. 18:30 Doing experience not used to doing. 18:50 "civilianization" 19:03 "That was another mistake." Integrating CF and DND turned some minds. 20:05 Happened mostly at NDHQ and General staff level. 20:50 Resignation. 22:20 Senate Sub-Committee on Defence. 23:48 Unification in retrospect. "I went down to the Bahamas […] needed a clean break." 25:36 "Destined to be in the Navy". Unification was a problem "you know when you spend 38 years in something you get attached to it." 27:20 No financial saving from Unification. 27:40 No professional improvements. "Tended to dilute experiences." 28:32 NDC schools useful but not a solution. 30:22 "It's a very emotional subject." (Interviewee stood up and left the room. The recorder was shut off. Some pictures and albums where shown to the interviewer but unfortunately no pictures or copies were made.)
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.102 | 0.041 |
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".