12-30-2024 - Tropical Beaches Calendar Book - RFART419 - Marine Day (Japan)
Bibliographic record
Abstract
This is my original student animated film made on December 30, 2024. This video is about my favorite obscure vintage, "Tropical Beaches Calendar Book," from the United States of America and Canada in English to celebrate Marine Day in Japan. これは、2024 年 12 月 30 日に制作した私のオリジナルの学生アニメーション映画です。このビデオは、日本の海の日を祝うために、米国とカナダの英語で私のお気に入りのあまり知られていないビンテージ「トロピカル ビーチ カレンダー ブック」について説明しています。 Il s'agit de mon film d'animation étudiant original réalisé le 30 décembre 2024. Cette vidéo concerne mon millésime obscur préféré, "Tropical Beaches Calendar Book", des États-Unis d'Amérique et du Canada en anglais pour célébrer la Journée de la Marine au Japon. Ito ang aking orihinal na student animated na pelikula na ginawa noong Disyembre 30, 2024. Ang video na ito ay tungkol sa paborito kong hindi kilalang vintage, "Tropical Beaches Calendar Book," mula sa United States of America at Canada sa English upang ipagdiwang ang Marine Day sa Japan.
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.073 | 0.015 |
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; both teacher heads agree on what is shown here.
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".