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
<p>Terrorism and Moral Panic in Nigeria, is an investigation of the impact of terrorist attacks in the psyche of Nigerians. The sovereignty of the Nigerian state was threatened following the emergence of a terrorist group known as Boko Haram, which conquered a substantial part of Northeast Nigeria, using modern military hardware such as bombs, rockets, military tanks and high caliber machine guns. Boko Haram carried their terrorist attacks to many parts of Northern Nigeria, including Abuja, the Federal Capital Territory (FCT), which made the entire country to panic by creating genuine fear of insecurity in Nigeria. The study was conducted in August and September, 2015, in Abuja. A cross-sectional survey method was used to select 276 respondents by accidental sampling technique through the use of administered questionnaire. The study indicates that there were rampant terrorist attacks in Abuja, and the frequency by which people felt panicked was high. Also, the study found the role of the mass media in spreading information about the activities of the terrorists to be high. The study indicated high perception of personal risk by the respondents with a greater percentage knowing at least one dead victim of the terrorist attacks in Nigeria. The study recommended the improvement of the nation’s security network and public enlightenment as the panacea to the security challenges facing Nigeria at the moment.</p>
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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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