Bibliographic record
Abstract
… speaking so as not to die is a task undoubtedly as old as the word. (Foucault 1977: 53) Among the various fields of contemporary linguistics that anthropologists recognize as potentially relevant for their own discipline, pidgin and creole studies figure prominently. Why? For three essential reasons. First, pidgins and creoles have arisen in sociocultural situations that have proved to be of great interest to anthropologists since the 1950s, namely situations of cultural contacts often fostered, but not necessarily so, by European colonization. Second, pidgins and creoles have developed concomitantly with new cultural worlds, thus comforting anthropologists in their understanding of language as part of culture and of language as culture. Part of this approach has its intellectual roots in the works of the German philosopher Herder, and has been instrumental in shaping much of North American cultural anthropology (see Leavitt, this volume). Third, the cultural processes linked to pidginization and creolization show that “enlanguagement,” defined here as the process by which sociocultural groups create for themselves the language that becomes the medium of their new cultural life, is a cultural process as much as it is a cognitive one. But overall, the question of the birth conditions of these new languages is what has caught the attention of anthropologists. And the stories are fascinating, not only because of the human drama that has set the stage for the birthing process (colonization, slavery, indentured labour), but because of what this birth reveals about human agency.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".