Shakespeare's Queer Analytics

Don Rodrigues

at 250 WPM

4h 56m

The average reader, reading at a speed of 250 WPM, would take 4h 56m to read Shakespeare's Queer Analytics.

Personalise your estimate by entering your reading speed below

Test my reading speed

10

days at 30 min/day

296

total minutes

Buy on Amazon

Shakespeare's Queer Analytics

by Don Rodrigues, Jonathan Hope, Michael Witmore

2023

Bloomsbury Publishing USA

296

9781350288690

Description

"What led Shakespeare to write his most cryptic poem, 'The Phoenix and Turtle?' Does the Phoenix represent Queen Elizabeth, on the verge of death as Shakespeare wrote? Is the Earl of Essex, recently executed for treason, the Turtledove, lover of the Phoenix? Questions such as these dominate scholarship of both Shakespeare's poem and the book in which it first appeared: Robert Chester's enigmatic collection of verse, Love's Martyr (1601), where Shakespeare's allegory sits next to erotic love lyrics by Ben Jonson, George Chapman, and John Marston, as well as work by the much lesser-known Chester. Shakespeare's Queer Analytics critiques and revises traditional computational attribution studies by integrating the insights of queer theory to a study of Love's Matyr . A book deeply engaged in current debates in computational literary studies, it is particularly attuned to questions of non-normativity, deviation, and departures from style when assessing stylistic patterns. Gathering insights from decades of computational and traditional analyses, it presents, most radically, data that supports the once-outlandish theory that Shakespeare may have had a significant hand in editing works signed by Chester. At the same time, this book insists on the fundamentally collaborative nature of production in Love's Martyr. Shakespeare's Queer Analytics provides an original and much-needed methodological intervention in computational attribution studies while developing a compelling account of how collaborative textual production might work among men during the early modern period. In the process, it articulates what this book calls queer analytics: an approach to literary analysis that joins the non-normative close reading of queer theory to the distant attention of computational literary studies, highlighting patterns that more traditional readings overlook or ignore."--

Frequently Asked Questions

How many pages are in Shakespeare's Queer Analytics?

This edition of Shakespeare's Queer Analytics has approximately 296 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Shakespeare's Queer Analytics?

For most readers, Shakespeare's Queer Analytics typically takes between 6h 10m and 4h 7m to complete. This is based on the book's length of approximately 74,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 56m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 74,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Shakespeare's Queer Analytics?

The estimated word count for Shakespeare's Queer Analytics is approximately 74,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Shakespeare's Queer Analytics?

Shakespeare's Queer Analytics was written by Don Rodrigues, Jonathan Hope, Michael Witmore.

When was Shakespeare's Queer Analytics published?

The publication date for this specific edition is 2023. The original work may have been published on a different date.