Bibliographic record
Abstract
Abstract Abbas Kiarostami’s cinema has been described as a cinema of ‘evidence’ (Nancy), ‘delay and uncertainty’ (Mulvey), ‘ellipsis and omission’ (Saeed-Vafa and Rosenbaum) and “displaced allegories’ (Mottahedeh). This article suggests that by applying a new and interdisciplinary interpretation of ‘silence’ as an umbrella term, the variety of these readings will converge into a cohesive system and result in a better understanding and appreciation of the oeuvre of this Iranian auteur. The focus of this article is mainly on the auditory configurations of silence and their performative functions and possible ideological implications. One of the conclusions of this research is that in these present absences we not only ‘hear things because we cannot see everything’ (Žižek), but we are provided with a forced freedom to find and perceive experiences through silences that otherwise would be hardly imaginable. Also, in addition to the role of the audio-viewer/interpreter, silence will be regarded as the main vehicle of representing a poetic and philosophical Weltanschauung that seeks ‘to be without being’ and ‘present without showing’. This is a cinema of silence, indeed, in which silence acts as a space for (re)birth of philosophical questions (Chion, Nancy), aesthetic emphases, and ‘witnessing and passing’ as an inevitable option.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".