MétaCan
Menu
Back to cohort
Record W2276889738

「我感受到…父親的亡魂」:艾騰.伊格言電影中的創傷與翻譯

2013· article· zh· W2276889738 on OpenAlexaboutno aff
蕭瑞莆

Bibliographic record

Venue文化研究 · 2013
Typearticle
Languagezh
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideArmenianContext (archaeology)Object (grammar)DenialDiasporaWonderHistoryPolitical scienceLawPsychologyLinguisticsEpistemologyPhilosophyAncient historyPsychoanalysisArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Human beings in the last century have accomplished great things but we have also caused irreversible damage and harm to all forms of life. Genocide is one such example of atrocities on a scale unprecedented in previous human history. Armenian-Canadian director Atom Egoyan's Ararat (2002), since its release, has aroused debates and accusations in terms of sacrificing historical truth for the sake of aesthetic effect. As the first internationally produced and distributed full-length film about Armenian genocide (1915-1923), the critical opinions and debates are to be expected, since the anxiety and the following question is always there: Can speeches, words, and images sufficiently represent, interpret, and translate the referred object or event? On the other hand, as the survivors and people who experienced the genocide first hand gradually faded away, Ararat seems to be more concerned with the after effect caused by the denial of Armenian genocide. Thus, this film, involving Armenian Diaspora and other ethnic groups in the context of multiculturalism in Canada, launches the quest for and examines the multiple meanings of the so-called "cultural heritage." Egoyan and Ian Balfour in their collaborated work, Subtitles: on the Foreignness of Films, point out succinctly, "[e]very film is a foreign film, foreign to some audience somewhere-and not simply in terms of language." This makes us wonder what it means to Egoyan by translation, why we need translation, and how the subject and object are both changed and transformed in the process of translating. To try and figure out the answers to these questions, we need to adopt an interdisciplinary strategy to connect (1) the conception of translation that strives to preserve the foreignness of/in language (e.g. Water Benjamin and Paul Ricoeur's theory on translation), (2) Andrew Benjamin's philosophical reflections on words and meaning in relation to translation, and (3) Jean Laplanche's insistence on the unconscious as the "a traduire" (to translate/to be translated). Finally, by invoking Marianne Hirsh's concepts of "post-memory" and "familial looking" as supportive argument, I will read and discuss A Portrait of Arschile and some key scenes in Ararat to highlight that the possible answers to the previous questions may lie/hide in the dialogue between Raffi and Celia when Raffi visited her at the detention center. The event in and surrounding the dark room mentioned in their dialogue may be an allegory for film-viewing and remembrance.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venue文化研究Same topicBalkans: History, Politics, SocietyFrench-language works237,207