Bibliographic record
Abstract
Genre: Family history. Title: Cawa Lunda. Lengu Nandene (b. c. 1916) tells about the man Cawa Lunda, who passed away in the 1970s. SD, who is named Cawa Lunda on Palu'e, had to inquire about this ancestor. So we found out that he DID NOT drown, as others had told us, and his grave is in the village, unnamed. Apparently he nevr married and lived in his father's house until old age, still a bachelor. So Like in several of the recordings from this day, there are several voices. From the third recording session with Lengu Nande, 18 June 2015. She had said that she had no more tales, but she had (also a couple for a fourth session). Recorded with the AT2020 mic in the house of Pui and Yuli (chosen for all recordings with her). It opens with SD's and Mama Yuli's voices. Present were Maria Methi (heard in a few recordings) and her mother Yuli (also heard in a few recordings) and a few neighbours. Photos in SD1-044 to SD1-050, and in SD1-025 to SD1-028
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.024 |
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".