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Thornley, Davinia. Cinema, Cross-Cultural Collaboration, and Criticism: Filming on an Uneven Field. Basingstoke: Palgrave Macmillan, 2014.

2018· article· en· W2883806293 on OpenAlexaboutno aff
Ketlyn Mara Rosa

Bibliographic record

VenueIlha do Desterro A Journal of English Language Literatures in English and Cultural Studies · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersUniversidade Federal de Santa Catarina
KeywordsMovie theaterCriticismField (mathematics)Media studiesArt historySociologyEconomic geographyHistoryArtGeographyLiteratureMathematics

Abstract

fetched live from OpenAlex

he issue of cinematic collaborations across cultures is discussed by Davinia hornley in her book through a close reading approach that encompasses the textual layers of ilms, but also the production levels in which the collaboration among cultures stands out as a source of conlict and learning.Her focus on indigenous cinema locates the analysis on examples from the Commonwealth countries of Canada, Australia, and Aotearoa New Zealand, exploring ictional ilms and documentaries produced in a collaborative process by both indigenous and nonindigenous crew and cast.Such partnership becomes a focal point in her discussion of how cinematic collaborations can help open up spaces of dialogue and self-expression for the indigenous groups that start in the production phase and must be carefully acknowledged in the criticism of such ilms.hornley sensibly calls attention to the singularity of indigenous ilms and how these works speak from very speciic places and cultures, extending her criticism and analysis not only to the role of nonindigenous members in indigenous ilms, but also exploring the indigenous participation in the artistic creations.Collaboration becomes a keyword for the production of cross-cultural ilms that ind themselves in the crossroads between the requirements of an industry inserted in a commercial context and the needs of recovering and transmitting the visual history of indigenous peoples.One of the main subjects discussed in her book is the aterlife of indigenous ilms and their contribution to society through a process of continuing conversation among the artistic creators and the audience, whether they come from an indigenous background or not.Although hornley seems to underline the positive outcomes of such interaction in terms of a greater awareness of indigenous culture and an efort to foster indigenous self-expression, she recognizes the shortcomings of crosscultural undertakings in the form of inequalities experienced in a power-sharing * Ketlyn Mara Rosa holds a degree in Letras Inglês (UFSC, 2006), an MA in English and Corresponding Literature (UFSC, 2015), and is currently a doctoral candidate at Programa de Pós-Graduação de Inglês at Universidade Federal de Santa Catarina.Her research looks into the issues of landscape and technology in representations of contemporary war in cinema, speciically in ilms that take place during the Afghanistan and Iraq wars.In recent years, Ketlyn has researched on portrayals of combat and violence in war ilms and miniseries.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0050.008
Scholarly communication0.0060.013
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0190.004

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.

Opus teacher head0.016
GPT teacher head0.308
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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