Career Considerations in Journalism Among Female Mass Communication Students’ of Taraba State University, Jalingo, Nigeria
Bibliographic record
Abstract
This study examines the career considerations in journalism among female mass communication students of Taraba State University. The study adopted the survey research method with the questionnaire as the instrument. 125 questionnaires were distributed and 100 were dully filled and retrieved. Data were coded and analyzed with SPSS version 22 and presented in pie charts for clearer understanding. The study is anchored on social cognitive theory. The findings of the study revealed that female mass communication students of Taraba State University would practice journalism upon graduation and prefer advertising and news casting against reporting and other forms of journalism. Findings also revealed that gender discrimination is the major factor that dissuades female students from taking up journalism as a career upon graduation. In reversing this trend, the study recommends among other things that institutions of learning should imbibe on female journalism students the need to take up journalism as a career upon graduation. Families, religions, cultures and the society at large should also desist from discriminating female journalist.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".