Snow Fall y A Short History of the Highrise: dos modelos de comunicación audiovisual interactiva del New York Times
Bibliographic record
Abstract
espanolEn la presente comunicacion se analizan las caracteristicas discursivas de los premiados audiovisuales interactivos Snow Fall y A Short History of the Highrise, del New York Times (en adelante NYT). El analisis permite constatar el asentamiento y madurez de dos modelos de discurso interactivo que, a pesar de compartir elementos en comun, como por ejemplo el efecto de inmersion, responden a planteamientos claramente diferenciados. El primero, Snow Fall, despliega las posibilidades del parallax scrolling en el diseno de web-docs. El segundo, basado en la tradicion narrativa videografica, constituye probablemente el mejor ejemplo de formato interactive documentary desarrollado por el NYT y la National Film Board de Canada. Para el analisis se ha utilizado la herramienta «decoupage de audiovisuales interactivos» desarrollada durante los ultimos anos por los autores y presentada recientemente en el IV Congreso Internacional de la Asociacion Espanola de Investigacion de la Comunicacion AE-IC 2014 y en el Anuario Hipertext.net de 2014. EnglishThis paper analyses the discursive characteristics of New York Times’ awarded interactive features Snow Fall and A Short History of the Highrise. These projects allow us to state the maturity of two models of interactive discourse which, despite representing two different approaches, share a series of common features such as the immersive effect. Snow Fall is a paradigmatic example of the use of parallax scrolling in webdoc design. The video-based work A Short History of the Highrise represents a remarkable example of an interactive documentary developed by the NYT and the National Film Board of Canada. The analysis uses the ‘interactive decoupage,’ a framework developed by the authors for the study of interactive audiovisual work. This tool was recently presented at the IV Congreso Internacional de la Asociacion Espanola de Investigacion de la Comunicacion AE-IC 2014 and at the 2014 issue of Hipertext.net
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".