Press Coverage of Climate Change Issues in Nigeria and Implications for Public Participation Opportunities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nigeria faces a lot of environmental problems such as extensive gas flaring, deforestation, and desertification with serious consequences on climate change. How are these issues covered and framed by Nigerian newspapers? Content analysis of systematically sampled, 438 issues from 4380 issues of four purposively selected dailies between 2007 and 2009 shows dominance of climate politics/economics issues (61.2%), foreign sourcing of reports (63.4%), straight news formatting of reports (83.6%) and framing in terms of mitigation (55.2%). Mitigation efforts aim to reduce or prevent emission of greenhouse gases implicated in climate change. We conclude that coverage and framing constrain opportunities for popular participation in climate change discourse. To improve the situation, Nigerian newspapers should broaden the scope of climate change coverage and framing, widen local sourcing of reports, diversify the formats of reporting, and frame the issues more in the mould of adaptation (activities and measures to reduce risks posed by climatic changes) to boost involvement of people in climate change discourse through monitorial, supportive and collaborative strategy in agenda setting agenda.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it