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Record W4225255118 · doi:10.1353/wlt.2022.0118

Art as Inspiration, Liberation: A Conversation with Amitava Kumar

2022· article· en· W4225255118 on OpenAlexaboutno aff
Anderson Tepper

Bibliographic record

VenueWorld Literature Today · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsConversationPaintingArtWifeVisual artsArt historySociologyPhilosophy

Abstract

fetched live from OpenAlex

Art as Inspiration, LiberationA Conversation with Amitava Kumar Anderson Tepper (bio) Click for larger view View full resolution amitava kumar, the heart of the city / a cemetery / of grief [End Page 44] Amitava Kumar—author, most recently, of the novels Immigrant, Montana and A Time Outside This Time—is many things: novelist, journalist, critic, academic. He is also an impressive artist whose drawings and paintings have opened up new "ways of seeing" (in John Berger's phrase) for him creatively. Here, he speaks about writing and visual art, and how they feed each other in his work. Anderson Tepper: You've incorporated art and photography in your texts at least since earlier nonfiction books such as Bombay, London, New York and A Foreigner Carrying in the Crook of His Arm a Tiny Bomb. What made you decide to use visual imagery in your fiction as well, and does it serve different purposes? Amitava Kumar: You're right, you're right. In those books of nonfiction, at some level, the art was simply doing the work of illustration. Or so it seemed. But in reaching for art—I'm thinking now of a photograph of a pair of earrings sent by a prisoner in Guantánamo to his wife, in my book A Foreigner—I was really trying to do something more with my prose. The aim was to produce a more complex, even more engaged, response in the reader. When used as mere illustrations, pictures serve to root the truth in an identifiable reality. But when you open another kind of space for them, visual materials have this incredible ability to complicate truth without obscuring it. By smuggling art and photography into my fiction, I was playing with the conventional expectation that a picture is an illustration. In some cases, I try to underline the idea that this is a documentary which the reader is encountering, and, in other instances, I almost want to suggest that what they are encountering is something more illegible, as if in a dream. Tepper: Who are some other contemporary authors whose novels, in your eyes, have juxtaposed art and text in meaningful ways? Kumar: For me, much of my interest in images begins with the work of John Berger. I started reading him when I was an undergraduate in Delhi, and I can honestly say it changed my life. My first book, Passport Photos, was an extended homage to Berger. I think of so many other writers who were fans of Berger's and also his friends: Susan Sontag, Michael Ondaatje, Teju Cole, Ben Lerner. Having said that, let me add that I was also thinking of W. G. Sebald when I was telling you about trying something different in fiction. His use of photographs, for instance, makes the relationship between prose and image more slippery and elusive. Tepper: Your next book, The Blue Book: A Writer's Journal, will include your own artwork. What prompted you to begin drawing, and how does your art complement your writing? Kumar: I have been doing this work for a bit over three years, and The Blue Book is a result of that practice. In late 2018 I was on tour in Canada to promote my novel Immigrant, Montana. When I visited Michael Ondaatje in Toronto, he showed me Berger's Bento's Sketchbook. I liked it immensely. At the next stop in the tour, in Vancouver, I bought art supplies and started drawing. If you are drawing regularly, you are a better observer. That's one thing. It is my hope, however, that if I continue to do art in a committed way, my regular practice will liberate my artistic practice, that I'll become looser and freer. Not only in my art but in my writing. Tepper: What mediums are you principally working in, and how have you developed your technique or approach? Kumar: I started with rudimentary watercolors and drawings. My point of departure, if I can call it that, was using some sort of a resin over newspaper clippings and then, once the mixture had dried, putting gouache on the newsprint. This was something I did a lot of during the first...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.000

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 head0.010
GPT teacher head0.178
Teacher spread0.169 · 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
GenreOther

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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