Nzema Proverbs and Sayings About Hard-Work, Perseverance and Self-Reliance
Bibliographic record
Abstract
In many African socio-cultural setting, people cherish the incorporation of proverbs in discourse; partly because speakers use proverbs as a ‘vehicle’ to conveniently convey their messages to targeted audience. Since proverbs are concealed with a lot of didactics and wisdom, speakers often depend on them to advise people against vices, while most acceptable behaviours are encouraged through proverbs. Among the Nzema, proverbs permeate almost every communicative interaction. This paper presents a qualitative descriptive analysis of Nzema proverbial expressions that advocate the virtue and essence of hard work and perseverance. It aims at examining the role of the Nzema proverb in ‘empowering’ people to work hard and to highlight the implications for ensuring a peaceful society. The paper fetches data from both oral and documented sources, as well as the researchers’ intuitive knowledge as indigenous speakers of Nzema. It found that the Nzema detest people who entertain the spirit of laziness/idleness, since this could result in indigence and could sometimes compel people to indulge in several immoral acts. The Nzema rather believe that hard work and mobility could place people at the pinnacle of the pedestal with regard to achievements in life. The implication, as the discussions showcased, is that industriousness is a necessary tool for ensuring self-sufficiency; thereby promoting a peaceful, cohesive and harmonious traditional society among the Nzema. The paper, thus, calls on all categories of people to be hard-working, so as to live independently to avoid undesirable attitudes like robbery, envy, jealousy, and hatred etc. to ensure the prevalence of peace and societal co-existence at all times.
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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".