“LI KA FE’L TOU” : THE INFLUENCE OF AN EDUCATIONAL TELEVISION PROGRAM ON HAITIAN CHILDREN’S GENDER BELIEFS
Bibliographic record
Abstract
This study examined whether an educational television show would affect young Haitian children’s gender perceptions. We first collected data on children’s beliefs about male and female characteristics and roles. Among 862 participating 6- and 7-year-olds from urban, peri-urban, and rural settings, we saw gender stereotypical beliefs about activities, traits, and occupations. We conducted a school-based intervention over a 10-week period, in which children were randomly assigned to watch a children’s television program in either of two groups: one that watched Lakou Kajou or one that watched Dora the Explorer. Each group saw 21 episodes of its assigned show, spread over 3 screenings of 7 episodes each. Lakou Kajou is an educational television show created in Haiti that purposely incorporates overt counter-stereotypical gender messaging. Among those children who watched Lakou Kajou and recalled more characters from the show, beliefs around gender became less stereotypical. In countries like Haiti, where pronounced gender disparities and biases exist, it is encouraging to see that a locally produced educational television show can change beliefs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".