NO OF CREDITS: 5 QUARTER CREDITS WA CLOCK HRS: 50 semester equivalent = 3.33 credits OR PDUs: 50
Bibliographic record
Abstract
Northern Europe embraces some of the most beautiful land in the world, and its history, from Viking Raiders to the devastations of World War II, has been some of the continent’s most colorful and violent. As the main players on the Baltic and North Sea stages, the area’s capital cities, Copenhagen, Stockholm, Helsinki, Oslo and St. Petersburg, have long been acting on and reacting to each other. Their history and art reveals the individual way in which each of their country’s culture has developed, but also the depth of their influences on each other. On Princess Cruise Line for ten days, round-trip from Copenhagen, we will visit each of these capital cities, studying the interplay between them as well as their chief historical, artistic and cultural sites (see Course Itinerary). Optional tours will be provided in each city, as will time for individual and small group exploration. Our field visits and discussions can be adapted to history, art and social studies curriculum needs for all grade levels, K-12. Of particular benefit to the teacher will be the opportunity to have first-hand experiences of art and historical sites pivotal to the culture of western civilization, and a greater appreciation of multicultural diversity as exhibited in this part of the world. Cost for the trip will start at $1658 (plus air and taxes) per person, based on double occupancy. Travel bookings must be arranged
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.921 | 0.895 |
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; the direct Gemma label and the distilled Codex classifier 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".