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Record W1483531739

Second Arrivals: Landscape and Belonging in Contemporary Writing of the Americas

2009· article· en· W1483531739 on OpenAlexaboutno aff
Jordan Stouck

Bibliographic record

VenueARIEL · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityDiasporaSociologyNationalismIdentity (music)AestheticsSense of placeNarrativeDeleuze and GuattariAnthropologyHistoryPoliticsArt historyGender studiesLiteraturePhilosophyArtLawSocial science
DOInot available

Abstract

fetched live from OpenAlex

Sarah Phillips Casteel. Second Arrivals: Landscape and Belonging in Contemporary Writing of the Americas. Charlottesville: University of Virginia Press, 2007. Pp. ix, 272. $59.50; $22.50 pb. What happens to the desire for home and a situated sense of belonging in a globalized, diasporic world? Following the siren call of Gilles Deleuze and Felix Guattari, are we really all content to be rootless nomads? Or does the desire for a space, landscape, environment to call one's own persist? These are the issues Sarah Phillips Casteel explores with enviable clarity and perception in Second Arrivals: Landscape and Belonging in Contemporary Writing of the Americas. Casteel focuses on diasporic writers and visual artists from across the Americas who lay claim to a sense of but understand place an ongoing, laborious, and always provisional process (193). The book's introduction acknowledges current theory's predilection for mobile, deterritorialized and liminal urban spaces. Diaspora theorists such as Stuart Hall, Paul Gilroy, and Arjun Appadurai, along with Deleuze and Guattari, Casteel explains, rightly critique the ways in which colonial, nationalist and patriarchal discourses historically linked identity and geography: to belong once meant identification with a particular, typically rural place, race and history. Yet Casteel insists, and many people's experiences bear out, that the alternative of simply abandoning all notions of emplacement denies both the desire for belonging and many imaginative possibilities. Instead, she reads writers V.S. Naipaul, Derek Walcott, Bernard Malamud, Philip Roth, Joy Kogawa, Jamaica Kincaid, Michael Pollan, Shani Mootoo, Gisele Pineau and Maryse Conde, as well as visual artists Isaac Julien and Jin-me Yoon, for the ways in which they negotiate more complex and sometimes contradictory understandings of emplacement. Rather than rejecting rural and wilderness spaces outright, these writers and artists deconstruct binaries of home-exile, roots-routes and nature-culture in favour of a new, dynamic vision of landscape. Casteel addresses authors from across the Americas, arguing that colonial exploration, natural science, and ethnographic narratives initiated anxious and competing claims to belonging and emplacement throughout the New World. Canonical Caribbean writers such as Naipaul and Walcott, for instance, rearticulate pastoral motifs from a postcolonial perspective, insisting on tensions between the pastoral's idealized vision and its real historical implications. Casteel's close readings locate both authors as revealing the dispossession tied to pastoral discourse through plantation history while also, with differing degrees of success, deploying the pastoral as a means to repossession and a new sense of place (46). Similarly, Malamud and Roth appropriate the pastoral myth in a Jewish diasporic context. Pointing to the tenuousness of belonging traditionally associated with urban Jewish culture, both authors assert the more profound if problematic belonging of a rural American Jewish presence. In a particularly insightful chapter on Joy Kogawa's novel, Obasan, she places that work within pastoral and nature-writing traditions and argues that Kogawa seeks to assert Japanese Canadian indigeneity through emulating the perspective of First Nations people. …

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.007
Scholarly communication0.0110.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.030
GPT teacher head0.311
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2009
Admission routes1
Has abstractyes

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