Bibliographic record
Abstract
In this paper we seek to set out in broad terms the main contours of the vernacular past of the Idaw Tanan of the western High Atlas Mountains of Morocco. By vernacular past we mean the oral, broadly shared, understanding of the past as it is viewed within particular societies, in contrast to written, researched, accounts of past events produced by historians or contained in official histories. Among the Idaw Tanan, the vernacular past constitutes a body of information which is largely co-created and sustained by the old men of local communities. It falls into four more or less discrete domains based on two cross-cutting dimensions: first, relative time-depth (shallow versus deep), and second, whether the subject matter relates to secular or sacred matters. The four domains are analysed in terms of the manner in which they are produced, their contents, texture, language-style, and the way in which the personæ and events depicted within them are situated in time. Two particular events in the ‘official’ history of Morocco – an 1883 royal expedition along the south Atlantic coast led by Mulāy Ḥasan I, and the 1912 mass march from Tiznit to Marrakesh led by the insurgent Aḥmad al-Hiba – are also discussed insofar as they are refracted in the Idaw Tanan vernacular past. Finally, there is a brief discussion of how contradictions between the Idaw Tanan vernacular past and other ‘pasts’ are managed when they become evident.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".