The Traditional Pottery and Social Engineering: Beyond the Apprenticeship Façade
Bibliographic record
Abstract
The sustainability lifeline of traditional pottery in Nigeria is hooked to apprenticeship programmes. Not only does it ensure a turn-over of job openings for the teeming jobless populace, it engages the idle mind meaningfully by distracting it from succumbing to anti-social lifestyle. Apprenticeship, in the course of time, matures into mastery of raw material behaviour and the techniques of production. This dovetails into social re-moulding and this re-engineers the benefitting environment for the overall good. The mention of traditional pottery to the uninformed creates the impression of vessels of crudity and the absence of technical excellence. Contrary to that, it is a tradition of incredible product finesse and complicated technical processes, some of which are still being researched into today. The area has matured into a wholesome body of knowledge routinely handed over, through the apprenticeship system, from one generation to the next without the loss of the tiniest fragment of relevant information. This paper peers into the apprenticeship arena and tries to locate other social benefits which lie side by side with pottery skill acquisition. These benefits tend to re-engineer the societal structure and their effects continue to socially multiply beyond the apprenticeship façade.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".