Afrobarometer Round 5: The Quality of Democracy and Governance in Sierra Leone, 2012
Bibliographic record
Abstract
The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economic, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Sierra Leone, and also includes a number of "country-specific questions" designed specifically for the Sierra Leone survey. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".