4170: Reading the Commemoration at the Last Post Ceremony at the Menin Gate, Ypres.
Bibliographic record
Abstract
I read the commendation during the nightly "Last Post Ceremony at the Menin Gate", Ieper/Ypres, Belgium, on 11th December 2012.In December 2012 I did some work in the "In Flanders Fields Museum" in Ieper, Belgium. While I was there I visited the Menin Gate for a guided tour. During the tour as the only British man present, I was asked to read a Sassoon poem to the group. Little did I know that this was a kind of audition, because when we left the ramparts and went down to join the ceremony the guide pulled me aside and introduced me to the leader of the Last Post Association. During that evening's ceremony I read the Exhortation (from 'For the Fallen' by Laurence Binyon), standing in the middle of the road under the arch of the Hall of Memory.From the website of Great War 1914-1918: "The Menin Gate Memorial to the Missing is one of four British and Commonwealth memorials to the missing in the battlefield area of the Ypres Salient in Belgian Flanders. The memorial bears the names of 54,389 officers and men from UK and Commonwealth Forces (except New Zealand and Newfoundland) who fell in the Ypres Salient before 16th August 1917 and who have no known grave."
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.375 | 0.147 |
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".