Bibliographic record
Abstract
Gusii or Abagusii is the people's name for themselves. The Gusii are divided into seven clan clusters: Kitutu (Getutu), North Mugirango, South Mugirango, Majoge, Wanjare (Nchari), Bassi, and Nyaribari. Gusiiland is located in western Kenya, 50 kilometers east of Lake Victoria. This collection of 32 English language documents deals with the Gusii people of Kisii District in southwestern Kenya. The major time span covered is approximately one hundred years ranging from about 1900 to 2001, with a focus on the years of 1950-1976. Only one study in this collection (Hakansson, 1994) deals with the pre-colonial period (i.e., pre-1907); specifically with the relationship between agricultural production and grain and cattle exchange. Two studies provide some degree of general ethnographic coverage; these are LeVine 1966 and 1994. In addition the LeVines (Robert and Sarah) provide a wealth of information on infant and child care and development. Other ethnographic topics covered in this collection are: bride-wealth as a significant feature of Gusii marriage arrangements in Mayer, 1950 and Hakansson, 1988 and 1990; kinship in Mayer, 1949 and 1965; witchcraft and sorcery in LeVine, 1963 and Ogembo, 2001; gender in Hakansson and LeVine, 1997, and Hakansson, 1994; and sex offenses and social control in LeVine, 1959 and 1980. Eight documents are from the text, Child Care and culture: Lessons from Africa
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.787 | 0.660 |
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".