Participatory wildlife films for primate conservation education in Los Tuxtlas Biosphere Reserve, Veracruz, Mexico
Bibliographic record
Abstract
Audiovisual media has become an integral part of conservation education strategies, with the potential not only to communicate information but also to impact on its viewers perceptions and attitudes towards a particular subject. Despite this potential, few studies have evaluated either the use of film for primate conservation initiatives or the wider impact of participatory film production. Our study evaluates the impact of a participatory documentary film about historic human-primate coexistence in the Los Tuxtlas region, Veracruz, Mexico, to improve people's knowledge, perception, and attitudes towards the local primate species, Alouatta palliata and Ateles geoffroyi. Our study took place in six rural localities, in four of which a participatory film-making process was undertaken, involving production workshops and public screenings; two localities were intentionally left out as control groups. People's knowledge, perception, and attitudes towards primates were assessed through randomized sampling using a questionnaire prior (n = 419) and following (n = 223) the presentation of the documentary. Results indicate a minimal but positive shift in participant's attitudes and perceptions, with statistically significant increases in primate knowledge scores. While the participatory approach offers promise, further exploration and refinement are essential for effective conservation education. The study highlights the need for diverse and locally based perspectives in developing conservation education materials and programs to foster meaningful engagement and drive primate conservation efforts forward.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".