How the Tricolor Got Its Stripes and Other Stories About Flags
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Starting with flags that we know, this captivating history explains the origins and hidden meanings of flags, taking a chatty but always entertaining path through this universal subject. Each chapter starts with a well-known flag and shows how that flag led to a number of other flags - so, for example, how the French tricolor led to the red, white and green tricolor of Italy, and then to a host of other tricolors in different parts of the world. Many of the over 200 colour illustrations feature alternative versions of existing flags - the flags that might have been - such as the red Canadian maple leaf between two bands of blue, representing the Atlantic and Pacific Oceans. This entertaining and very likeable history of flags was written by Ukrainian businessman and ex-cabinet minister Dmytro Dubilet and first published in Ukrainian six months before the start of the Ukrainian-Russian war.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.088 | 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 it