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Record W7127362435 · doi:10.58066/rxv0-4b82

Interview with John Allott

2025· other· en· W7127362435 on OpenAlexaboutno aff
:unav

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDreamPeriod (music)World War IIAsset (computer security)Cadet

Abstract

fetched live from OpenAlex

Narrator: Allott, John., 1953- Interviewer: Shelby Andrews Interview Date and Location: 07/03/2025/ Victoria, over zoom. Synopsis: John knew from an early age that he wanted to be a pilot in the Armed Forces, and to help support his dream in his youth, he joined Air Cadets at age 12. At the time of his recruitment, the Air Force required him to go to college, so he spent two years at Royal Roads Military College and a further two years at the Royal Military College. After that, he was sent to do his pilot training immediately. He recalls this period with fondness, yet he admitted it was very difficult. He specifically remembers a lock box with everyone’s wings inside, and every time there was a failure, a set of wings was removed. But he was successful, and was posted to 424 Squadron in Trenton to fly the Buffalo. According to John, there is no such thing as a “normal day”. It was filled with training, studying, or searching. He moved up to Search Master quickly, and found the job to be arduous. He had an especially difficult mission of discovering the bodies of 4 Royal Roads students in a crashed aircraft. John continued to serve as an Aircraft Commander and a Search Master in an exceptional manner, and was an asset to his country until retirement. 00:20 -04:10 - John’s childhood and how he got into the Air Force 04:10- 06:45 - John’s experiences in flight school 06:45 -11:25 - 424 Transport and Rescue Squadron and John’s relationship with the Buffalo 11:25 - 14:15- Was a typical SAR operation would be in the Trenton area 14:15 -17:00 - Certifications and training needed for the position, and normal procedures for a distress signal 1700 -21:05 - John’s experience as a Search Master 21:05 -26:00 - One of John’s missions as a Search Master to assist a search for a missing aircraft with 4 young men on board. While the search was successful, the pilot of the missing aircraft and all 3 passengers were deceased. 27:40 -31:00 - Supporting ground operations in Egypt 31:00 -37:50 - Handling the mental and physical consequences of the job, and stress management. 39:10 -48:00 - John’s time as an Aircraft Commander and his position at 442 Squadron 48:00 - 54:20 The technology John had available to him and if he felt the pressure of Canada’s faulty procurement strategy. 54:20 - Conclusion - Leftover experiences that did not come out previously in the interview

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)0.007
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 score0.069
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0290.005

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 head0.028
GPT teacher head0.275
Teacher spread0.247 · 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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