Bibliographic record
Abstract
There are more than 40 border crossings between the Federal State of Saarland, Lorraine and Luxembourg. In fact, Saarbrücken is the only one of the 16 state capitals of the Federal Republic of Germany on whose territory a state border runs. The urban area of Saarbrücken borders directly on France over a distance of more than 10 km. I was born in 1971 and grew up in a small village, pretty close to the French border. The border points were always easy to pass, even before the Schengen Agreement came into force. Like anybody, I accepted the rare controls. It was perhaps like accepting an annual cold. “After Schengen” the border disappeared more and more from my (and also the collective) consciousness over the years, a state that I still appreciate very much today. All the more it hit me to be confronted with closure of this border for the first time in my life. The obvious consequence for me was the creation of the photo series with which I wanted to document this unpleasant and hopefully unique state. All photos were taken between March 27 and April 10, 2020. For the compelte series, see my website. » © Marco Kany | marcokany.de «
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".