MétaCan
Menu
Back to cohort
Record W2515307769 · doi:10.1017/s1060150316000139

DISTANT VIEWS:<i>DANIEL DERONDA</i>, ILLUSTRATED TRAVEL BOOKS, AND THE SPECTRE OF PALESTINE

2016· article· en· W2515307769 on OpenAlexaff
Jessica Duffin Wolfe

Bibliographic record

VenueVictorian Literature and Culture · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicWalter Benjamin Studies Compilation
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsZionismIdeologyPoliticsAestheticsNationalismJudaismGazeHistorySociologyLawPolitical sciencePhilosophyPsychoanalysisPsychologyArchaeology

Abstract

fetched live from OpenAlex

George Eliot'sDaniel Deronda(1876), a novel that spurred Zionism in Palestine, opens with a scene of watching and thus moves from a male gaze on a woman's body to a project of envisioning a new nation in a distant land. The national drama of the novel turns on the ideological meaning of gazing at landscape, as Daniel Deronda replaces one political perspective with another. Indeed, Mordecai's political dream of a Jewish national future involves “Looking towards a land” (454; bk. 6, ch. 42): his nationalist vision transpires as a gaze upon a far-off place. Colonial ambition itself can be understood as an ideological view of landscape as open to possession, a gaze on the territory of others that insists often violently on itself, to the exclusion of other political perspectives. Motivated not by sex but by moral and political domination, this colonial gaze nationalizes viewership, and makes the landscape it imagines real. For Deronda himself, nationality itself is a kind of viewership. He wants to study abroad, because, he says, “I want to be an Englishman, but I want to understand other points of view” (155; bk. 2, ch. 16). Being an Englishman is a “point of view,” a perspective to claim, to the possible exclusion of other nationalized ways of seeing landscapes both domestic and distant.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0130.002

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 head0.016
GPT teacher head0.204
Teacher spread0.187 · 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 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueVictorian Literature and CultureSame topicWalter Benjamin Studies CompilationFrench-language works237,207