Bibliographic record
Abstract
I conducted research comparing the Jomon Period with the Pacific Northwest Coast of North America Prehistory with Dr. Akira Matsui (Nara National Research Institute for Cultural Properties), Dr. Tomonori Kanno (Tohoku University), and Dr. Dale R. Croes, who is an Adjunct Professor with Washington State University, Pullman, Washington USA. My goal is to report the results of field excavations and the ethnoarchaeological investigations that we have carried out in the USA, Canada and Japan. Our research team took part and helped support the 2007 investigation of Sunken Village wet site, an acorn pit leaching site dating 700 years ago in Portland, Oregon, USA, and the 2009 investigation of Mud- Bay wet site (Indian name Qwu?gwes) in Olympia, Washington, USA, a shellfish processing camp dating between 1000 years ago and 500 years ago and directed for 11 years by Dr. Croes. Then we participated in the excavations of Labouchere Bay Archaeological Project, Prince of Wales Island, Alaska, USA in 2013, and the prehistoric site of Triquet Island, British Columbia, Canada in 2015. We visited the Hoko River Archaeological Site Complex dated from 3000 years ago to 1700 years ago in 2009 and 2010, and the Ozette site dated from 300 years ago in 2010 and 2012. Both of these sites are located on the Olympic Peninsula, Washington, USA. We also joined in the 2009 Suquamish Tribal Canoe Journeys, Journey to Makah in 2010, and Paddle to Squaxin in 2012; These huge gatherings allowed us to conduct ethno-archaeological investigations with thousands of Indigenous People participating.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".