2010 WINGS #47-10 Ghana Women Look Ahead To Elections
Bibliographic record
Abstract
Description: Ghana ranks 111th out of 133 in percentage of women in Parliament (worse than the US, which is tied with Turkmenistan for 72nd place, or Canada, in 52nd place). Ghana's Women's Manifesto calls for equal participation in decision-making at all levels. However, bribery, sexist rumor-mongering and other vicious tactics must be overcome. Host(s): Patience Dapaah, Frieda Werden Featured Speakers/Guests: Rosaline Baatuolkuu Obeng-Ofori, Gender Activist, former Secretary of Cabinet, Economic Community of West African States (ECOWAS); Zalia Seidu, youngest ever candidate for Ghana's parliament (contested in the Ayawaso Central Constitency of Accra in Ghana in 2004 and 2008, lost on both occasions); Hamida Harrison, Convenor of the Women's Manifesto Coalition of Ghana and also Program Manager at Abantu for Development, a gender-focused organization in Ghana. Also discussed, the late Honorable Hawa Yakubu Ogede, former Member of Parliament, Bawku Central Constituency of the Upper East Region of Ghana, and former Member of the African Parliament. Credits: Produced by Patience Dapaah. Series producer, Frieda Werden.
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.
How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.927 | 0.091 |
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; both teacher heads agree on what is shown here.
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".