Bibliographic record
Abstract
On the Twelfth of July, 2003, I took an unusually empty train from Dublin to Belfast to attend one of the biggest and most contentious Orange Parades in Northern Ireland’s Loyalist Marching Season.1 That day, I stood among the crowds on the sidewalks who were waving their Union Jack flags while wearing Union Jack jester hats, watching the Orangemen parade down the street. In order to not draw attention to myself or appear as a cynical cultural tourist, I opted to forgo taking photographs that day and instead collected newspapers and other ephemera from the event. That evening’s edition of the Belfast Telegraph held two remarkably contrasting images on its front page. Above the headline, which read, “Sunshine Greets Twelfth Marchers,” were two circular images, in opposite corners, previewing articles inside the paper. The image in the top right-hand corner showed members of various Orange Order lodges marching in their bowler hats and orange sashes, but it was the image in the opposite corner that drew my attention. In this image – rendered as a watercolor painting – a single boat on blue water and underneath a cloudless sky – was flagged with the message “Nine Hours to Paradise: A Holiday to the Caribbean.” While this is hardly an unusual representation of the Caribbean, which is packaged for tourists who wish to get away from their lived reality and spend a vacation in a land often considered outside of time, I found its placement in this particular edition of the Belfast Telegraph to be more than a bit ironic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.095 | 0.014 |
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".