Bibliographic record
Abstract
Walter Kaudern (1881-1942) was a Swedish Zoologist and Ethnographer who made a research trip to North and Central Sulawesi between 1917 and 1921. The trip began with a focus on Zoological questions largely pursued in North Sulawesi, but quickly shifted to ethnographic concerns in Central Sulawesi. Here, he worked for extensive periods in Kulawi, and Loinang, with comparative side excursions in Pipikoro, Bada' and Ondae, collecting an extensive 3000 artifact collection which now resides in the Swedish Museum of World Culture (Gothenburg). He published the results of his fieldwork in English in an extensive 6 volume "Kajian Ethnografi di Sulawesi: Hasil Ekspedisi Penulis ke Sulawesi 1917-1920 (1925-45), several volumes of which have already been translated in LOBO. Di Pedalaman Sulawesi, however, is an initial survey work published in Swedish and thus largely inaccessible. The importance of this work is not its reports of zoological and ethnographic findings which are reported at length elsewhere, but its intimate personal reflections on his research and methods, and in particular, his interactions with the Dutch colonial government, the Salvation Army Missionaries, and especially the inhabitants of Central Sulawesi. It is not a flattering self-portrait. This work will be published in three volumes, and contains extensive links to the collection of photographs available from the Museum of World Culture. Readers are warned that this work contains racist language.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.011 |
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".