MétaCan
Menu
Retour à la cohorte
Enregistrement W7154852995 · doi:10.59236/emro.v27i12a87

Mission Kipi

2025· article· W7154852995 sur OpenAlexaboutno aff
Kathryn Albright

Notice bibliographique

RevueEducational Media Reviews Online · 2025
Typearticle
Langue
DomaineComputer Science
ThématiqueDigital Education and Society
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousPaceSubject (documents)HappeningQuarter (Canadian coin)

Résumé

récupéré en direct d'OpenAlex

Distributed by Pragda, 1161 Bedford Avenue, #1211 Brooklyn, NY 11216Produced by Sonaly Tuesta, Javier Anaya, Martina Sottile, and Guillermo SemproniiDirected by Sonaly Tuesta2024, Streaming, 81 mins “Hi, I’m Kipi, an ecological and intercultural robot.” That’s how the film’s titular character introduces herself. The heart of the film, however, is Kipi’s creator, Peruvian high school teacher and roboticist Walter Velásquez. Framed against the COVID-19 pandemic, lockdown, and aftermath, the film explores Kipi’s creation, Velásquez’s reasons for doing so, and the rich heritage of Peruvian Andean indigenous communities and cultures. Running just a little over an hour and a quarter long, Mission Kipi feels both just the right length but also not long enough, leaving the viewer wanting more. The content is sincere, heartwarming, and fascinating, and the film’s slow pacing feels thoughtful and appropriate for the subject matter, as well as reflecting the slower pace of life during lockdown. As COVID-19 started spreading across the world, schools in Peru—like everywhere else—shuttered and sent their students home to do remote learning. Concerned by the fact that many of his students lived in remote areas without reliable wifi or appropriate technology, Velásquez began traveling to visit his students at their homes. A roboticist, he first started by recording lectures to flash drives and converting old radios to be able to play the lectures. He would leave these devices with students so that they could continue learning their lessons. Eventually, he got the idea to create a robot that could interact with students and not only teach them but learn from them. Kipi was born of humble, available and salvaged parts, with an old radio for a head, flashlights and welder glasses for eyes, a multi-gallon water jug for a torso, and a scale for feet. Velásquez intentionally built her to be a female robot to counteract traditional gender-related expectations of who in a family was prioritized to go to school—typically the male children—and to inspire his female students to continue to learn and achieve their dreams. The film then intersperses scenes of Kipi’s creation and programming with scenes of Kipi and Velásquez traveling to remote parts of Andean Peru—sometimes by burro, sometimes hitching a ride, and sometimes even by foot across rugged terrain. Throughout the rest of the film, we learn that Kipi’s role is not only to teach but to serve as a cultural ambassador of sorts. Kipi speaks strictly in Quechua, one of the original 48 languages that survived throughout Peru’s tumultuous history. As Velásquez and Kipi travel to each indigenous community, they meet with elders and students and learn aspects of that culture in order to preserve it and share it with others. One visit results in learning about chuño, a national dish made from dehydrated Peruvian potatoes, as well as the methods of cultivating those potatoes. Other visits to indigenous communities have Velásquez and Kipi learning about dances, music, festivals such as Corpus Christi, and traditional ecological practices. That knowledge is then shared with other communities, and many scenes show the adults of the community learning right alongside the students. The ultimate message of the film, and Kipi’s reason for being, comes from an interaction he has with her later in the film. “But if you treasure all that information,” he says, “you’ll be able to tell the people from the future all you know. Who we were in these pandemic years, who we humans were, how we behaved, what has affected us, what was our culture like. You have to save all of that for the future.” Kipi, as well as the children of the Peruvian Andes, is a message of hope for that future, and the importance of an education, even in the face of seeming unsurmountable hardships, is not underscored. Mission Kipi is a film that lingers on long after you’ve finished it, and the messages it shares are universal. It comes highly recommended.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,531
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0020,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,053
Tête enseignante GPT0,387
Écart entre enseignants0,334 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEducational Media Reviews OnlineMême sujetDigital Education and SocietyTravaux en français237 207