Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a range of eastern and southern African language communities, stretching from Ethiopia to the Cape, married women are enjoined to avoid the names of members of their husband's family as well as (near-)homophones of those names, and to replace tabooed vocabulary with substitute words. Although in-law name avoidance is a global phenomenon, the daughter-in-law speech registers thus constituted are unusual in their linguistic elaboration: they involve avoidance not only of names and true homophones of names but also an array of words whose only relation to tabooed names is phonological similarity. We provide an overview of the distribution and convergent social and linguistic characteristics of these registers and then examine one register more closely, namely, that of Datooga of Tanzania. To tease apart the layers of causality that converge upon this particular sociolinguistic pattern, we consider archaeological, ethnological, sociolinguistic and genetic lines of evidence. We propose that any partial diffusion of in-law avoidance practices has been complemented by a complex of sociocultural factors motivating the emergence of this pattern at different times and places across the African continent. These factors include pastoralism, patrilineal descent ideologies and norms of patrilocal postmarital residence paired with cattle-based bridewealth exchange.
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.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it