Intentional Creativity as a Modality for Healing

McCloud, J. M.

doi:10.2139/ssrn.3416246

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…3 Manga and Western comics alike are multimodal texts that draw on many different semiotic systems, from maximally iconic (i.e., drawings) and symbolic (i.e., language) systems to signs situated in between the two, including sound effects, font choices, and panel design. 4 Umberto Eco and Siri Nergaard famously discuss translation as a process involving texts, rather than languages -"passing from a text 'a', elaborated according to a semiotic system 'A', into a text 'b', elaborated according to a semiotic system 'B'" 5 -and the complicating factor of comics' multimodal nature is readily apparent, since multiple semiotic systems elaborate on the text from each side.…”

Section: Introductionmentioning

confidence: 99%

“In the name(s) of the moon!”: ‘Japaneseness’ & Reader Identity in Two Translations of Sailor Moon

Sleeper

Iskos

2021

JAMS

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Manga has become increasingly popular in the United States since the 1990s, and over time, the strategies employed in translating these texts for English-speaking audiences have shifted. As translation practices have changed, so too has the status of the sociocultural construct of 'Japaneseness' – a commodified branding of Japanese elements – in translated manga. A striking example of this shift can be seen in two English translations of Naoko Takeuchi's 1991 manga Bishôjo Senshi Sêrâ Mûn (Pretty Soldier Sailor Moon) for the U.S. market, released 13 years apart: the 1998 Mixx/TokyoPop translation and the 2011 Kodansha translation. In this paper, we examine the use of four linguistic features – loanwords, honorifics, onomatopoeia, and iconicity – in both translations, and find that each version broadly employs a different strategy to either erase (in the case of the earlier translation) or amplify and actively create (in the case of the later translation) 'Japaneseness' within the text. These strategies in turn afford two different ways for readers to engage with Sailor Moon, so following our analysis of the texts themselves, we then examine fan discourse to show how readers construct distinct identities by drawing on salient linguistic features of each translation. The shift from a preference for domesticated reading experiences to a desire for translations to retain as much Japanese character as possible reveals the construct of 'Japaneseness' as central to the commodification of Japanese language and culture in both manga publishing and Anglophone fandom more broadly.

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Section: Introductionmentioning

confidence: 99%

“In the name(s) of the moon!”: ‘Japaneseness’ & Reader Identity in Two Translations of Sailor Moon

Sleeper

Iskos

2021

JAMS

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“…Seismic imaging and parameter estimation are among the most computationally challenging problems in scientific computing and thus require access to highperformance computing (HPC) clusters for working on relevant problem sizes as encountered in today's oil and gas (O&G) industry. Some companies such as BP, PGS and Exxon Mobile operate private HPC clusters with maximum achievable performance in the order of petaflops [1], [2], while some companies are even moving towards exascale computing [3]. However, the high upfront and maintenance cost of on-premise HPC clusters make this option only financially viable in a production environment where computational resources constantly operate close to maximum capacity.…”

Section: Introductionmentioning

confidence: 99%

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud

Witte

Louboutin

Modzelewski

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

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This talk presents a serverless approach to seismic imaging in the cloud based on high-throughput containerized batch processing, event-driven computations and a domain-specific language compiler for solving the underlying wave equations. A 3D case study on Azure demonstrates that this approach allows reducing the operating cost of up to a factor of 6, making the cloud a viable alternative to on-premise HPC clusters for seismic imaging.

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