Of Parochial Partisanship and Education: Towards Civic Duty or Polarization?
Bibliographic record
Abstract
This article explored parochial partisanship among university students amid growing concerns about political polarization in Ghana. The paper used mixed research methods to gather data with the aid of an interview guide and a questionnaire. It argued that university education inculcates in and endows young people with a sense of civic-minded duty to prioritize the collective good of society and subordinate parochial partisan preferences in an analysis of political policies. The novel finding is that university education in Ghana has enlightened many young people to decipher between the facts and the propagandistic view held by political activists because of parochial partisan interest. However, university education was found to be a necessary but not sufficient condition to wipe out parochial partisanship which is the bane behind the growing political polarization in Ghana. The paper recommends continuous seminars on the dangers associated with negative partisanship in all tertiary educational institutions. Further, the winner-takes-all politics should be reviewed.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".