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Record W7114462694

Gusii FL08

2006· article· en· W7114462694 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsnot available
Fundersnot available
KeywordsClanEthnographyKinshipPeriod (music)Quarter (Canadian coin)Data collection
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.320
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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