Hope in Africa? Social representations of world history and the future in six African countries
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
Data on social representations of world history have been collected everywhere in the world except sub-Saharan Africa. Two studies using open-ended data involving university students from six African countries fill this gap. In Study 1, nominations from Cape Verde and Mozambique for the most important events in world history in the past 1000 years were dominated by war and politics, recency effects, and Western-centrism tempered by African sociocentrism on colonization and independence. The first three findings replicated previous research conducted in other parts of the world, but the last pattern contrasted sharply with European data. Study 2 employed a novel method asking participants how they would begin the narration of world history, and then to describe a major transition to the present. Participants most frequently wrote about the evolution of humanity out of Africa, followed by war and then colonization as a beginning, and then replicated previous findings with war, colonization, and technology as major transitions to the present. Finally, when asked about how they foresaw the future, many participants expressed hope for peace and cooperation, especially those facing more risk of collective violence (Burundi and Congo). A colonial/liberation narrative was more predominant in the data from former Portuguese colonies (Angola, Cape Verde, and Guinea-Bissau) than from former Belgian colonies (Burundi and Congo).
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 | 0.001 | 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) | 0.001 | 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