The Hill of Love Is Different From the Hill of Marriage: Re-Reading Mariama Ba’s Scarlet Song
Bibliographic record
Abstract
The task of this paper is to discover the wisdom behind this Wolof proverb: “When one abandons one’s own hill, the next hill which one climbs will crumble”. This paper has shown that the hill is the environment, race, cultural precepts, maternal bond, and values of the characters themselves that inhibit intercultural marriage. The theoretical framework used in this article is mainly deconstructionist theory, nonetheless eclectic approach is accommodated because of the interpretation of the concept hill. The interpretations of what constitutes a hill affected some characters negatively so that they did not achieve their goals fully. Other characters did not allow cultural pull and family ties to overwhelm them. Cultural precepts like the formidable power wielded by mother in-laws, maternal bond, mother’s culinary art, polygamy overwhelmed the protagonist to insanity. This paper recommends that mothers in-law should relax their maternal hold on their sons when they are married. The men who are not emotionally strong to withstand cultural pull should marry their own kinswomen.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".