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Record W6986235658

Pasado, presente y futuro del cine centroamericano en el Festival Internacional de Cine de Toronto (TIFF)

2022· article· es· W6986235658 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2022
Typearticle
Languagees
FieldDecision Sciences
TopicRisk and Portfolio Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Coronavirus disease 2019 (COVID-19)Somali
DOInot available

Abstract

fetched live from OpenAlex

A lo largo de su historia, los festivales de cine han conformado un circuito en el que no solo se exhiben una serie de películas sino que además consiguen acuerdos de distribución y obtienen prestigio, tanto para sus directores como para los países o áreas geográficas en que se producen. El Toronto International Film Festival (TIFF) está catalogado hoy en día como uno de los más influyentes, sobre todo por los acuerdos de distribución que ha conseguido para el cine independiente y la importante promoción que supone de cara a conseguir nominaciones o premios en los Oscar. En esta investigación analizamos las doce películas centroamericanas seleccionadas por este festival a lo largo de su historia. En los años 80, y principalmente en el marco de una retrospectiva de cine latinoamericano, se proyectaron películas comprometidas con los movimientos revolucionarios. En la década de 2010, sin embargo, la aparición de dos autores reconocidos en el circuito de festivales como Julio Hernández Cordón y Jayro Bustamante ha ofrecido una imagen diferente del cine centroamericano, cuyo crecimiento futuro parece garantizado gracias a las películas que ya están ayudando a producir algunos de estos festivales, como el de San Sebastián.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.012
GPT teacher head0.313
Teacher spread0.301 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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