Information Technology and Journalism Practice in Nigeria: A Survey of Journalists in Portharcourt Metropolis
Bibliographic record
Abstract
The thrust of this study was predicated on the need to ascertain the extent to which Nigerian journalists, especially those in Portharcourt metropolis, have integrated the use of information technology (IT) in their professional repertoire. The objectives among others included the need to streamline the challenges, if any, journalists face in the adoption of new information technologies (ITs). The study by its nature necessitated survey. To this end, one hundred and twenty (120) journalists were sampled with a view to dovetailing their responses within a scholarly spectrum. Findings revealed that 67% of the respondents use IT facilities in their day to day operations. Data further revealed that IT facilities in the various media houses studied were obsolete and inadequate. The challenges faced by journalists in the deployment of IT facilities were identified as lack of access to emerging information technologies as well as the absence of a framework for the training and retraining of journalists on information technology hardware and software configurations. It was therefore recommended that media proprietors should provide as part of the work environment, IT facilities to enable journalists discharge their duties in line with international best practices.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".