Self-Segregation and Incorporation as a Means of Social and Economic Development: the Case of the Ethiopian Betä Ǝsra’el
Bibliographic record
Abstract
Ethiopia is one of the most ethnically heterogeneous countries of the African continent. The overwhelming majority of its peoples have no literary tradition of their own. As a result, their lifestyle, manners and customs can be examined through field researches with only few exceptions. In this connection the Amhara and the Təgräy ethnic groups, who constitute the ruling class of the Christian state of Ethiopia, and at least one more people, viz. the Betä Ǝsra’el (the so-called ‘Ethiopian Jews’ or Falasha), are of particular interest, since all of them are more or less well represented in traditional Ethiopian historiography and have conserved their proper generational memory. The self-consciousness of the Betä Ǝsra’el revealed through the lens of written and oral tradition exerts its influence on patterns of their behavior in the changing world. Archaic backgrounds of their existence, especially their origin myths, were often left on the surface throughout different recorded periods of their existence and they remained aliens in Ethiopian society. The process of the alternate self-segregation and incorporation of the Betä Ǝsra’el within the Ethiopian state and the resulting social changes in the life of the people (both positive and negative) that occurred are demonstrated in the frame of the present research. The struggle for self-identity and recognition of the Betä Ǝsra’el as the descendants of the King Solomon’s noblemen is still in progress, even in Israel where they managed to move almost totally in the last quarter of the 20th century.
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".