MétaCan
Menu
Retour à la cohorte
Enregistrement W4379781544 · doi:10.1353/nai.2017.a661472

Screen Text and Institutional Context: Indigenous Film Production and Academic Research Institutions

2017· article· en· W4379781544 sur OpenAlexaboutno aff
Karrmen Crey

Notice bibliographique

RevueNative American and Indigenous Studies · 2017
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArtistic and Creative Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousNavajoColonialismIndigenous languageContext (archaeology)SociologyGender studiesMedia studiesAnthropologyPolitical scienceHistoryLawLinguisticsArchaeology

Résumé

récupéré en direct d'OpenAlex

Screen Text and Institutional Context:Indigenous Film Production and Academic Research Institutions Karrmen Crey (bio) Introduction NAVAJO TALKING PICTURE (Arlene Bowman 1986) and Cry Rock (Banchi Hanuse 2010) are documentaries exhibiting striking thematic similarities: both are made by Indigenous women emerging from university contexts who seek closer contact with their Indigenous cultural heritage. The filmmakers' relationships with their grandmothers manifest a cultural disconnect: while their grandmothers are fluent in their traditional languages, neither filmmaker is a speaker. The gap in language proficiency gestures to a cultural and social rupture that has taken place in the interceding generation. The generational ruptures experienced by Indigenous peoples under colonialism are well-known: efforts to eradicate traditional social organization through reservation/reserve systems and residential/boarding schools—among other legal, institutional, and physical methods—were designed to destroy Indigenous peoples' cultures and assimilate them into colonial settler society. As a part of this process, boarding school and residential school systems were created and separated Indigenous children from their families and communities, forcing children to adopt colonial settler values and cultural practices. These schools sought to eradicate Indigenous languages in particular, often using corporeal punishment to prevent students from speaking their traditional languages.1 As a result, a generation suffered massive cultural and social disruption that is represented by generational differences in Indigenous language speakers. This crux is the central motif for both films, through which they investigate the applications of the cinematic apparatus for connecting Indigenous people to their communities and cultural heritage. Their methods for engaging and representing these topics are, however, very different, drawing from frameworks for undertaking Indigenous research that emerged from distinct historical periods and national contexts. Bowman produced Navajo Talking Picture in the early 1980s through the University of California, Los Angeles film production program in association with [End Page 61] the American Indian Studies Center (AISC); Cry Rock was deeply informed by Hanuse's experience in the First Nations Studies Program (FNSP)2 at the University of British Columbia in the mid-2000s, and her experience in media-based project development at the National Film Board of Canada (NFB). For Navajo Talking Picture, the reinvention of film-based anthropology that began in the 1960s intersected with developments in Indigenous studies during the same era to engender a research environment in which it was understood that Indigenous people are best equipped to undertake research on Indigenous people and topics, a frame of reference that the film examines and complicates via Bowman's interactions with her grandmother, Ann Biah. Made twenty years later, Cry Rock engages with debates in Indigenous studies about the relationship between oral narrative traditions and the media used to record them, questioning the impact that recording technologies have on oral narratives and their survival. By doing so, the film intervenes in assumptions that the cinematic apparatus can function as an extension of oral traditions, a discourse promoted by the NFB, raising the possibility that recording technologies actually hasten their erosion. Cry Rock ultimately explores oral narratives as a mode of understanding that is intrinsically tied to specific geographical places and relies on a direct relationship between storyteller and listener, which media technologies cannot replicate. Bringing together Navajo Talking Picture and Cry Rock is in part a means by which to argue that analyses of the thematic similarities between media texts should be attentive to institutional contexts that Indigenous media practitioners navigate in their work, an approach that draws on precedent studies of minority media by Chon Noriega (2000) and Jun Okada (2015). Their work on Chicano cinema and Asian American film and video, respectively, has sought to understand minority cinemas not as pre-given, identity-based categories, but as areas of production debated and shaped through various social forces, including state policy, political movements, developments in media technologies, and institutional funding structures and policies. At stake are the terms through which minority media are conceptualized, as Noriega argues, as identity-based cinematic "genres": "What must be repressed in such a move is the fact that one is doing a form of genre analysis that effectively reduces institutional analysis and social history to a textual effect; that is, these social phenomena exist only as signs circulating within...

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,989
Score d'incertitude au seuil0,079

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,006
Études des sciences et des technologies0,0110,012
Communication savante0,0160,007
Science ouverte0,0020,009
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0240,001

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 Opus0,280
Tête enseignante GPT0,448
Écart entre enseignants0,168 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNative American and Indigenous StudiesMême sujetArtistic and Creative ResearchTravaux en français237 207