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Record W1963833037 · doi:10.5958/j.0974-5041.6.3.047

The Social Eudemonia of Immigrants in ‘The New World’: A Critique of Michael Ondaatje's<i>In the Skin of a Lion</i>

2012· article· en· W1963833037 on OpenAlexaboutno aff
M. Preetha

Bibliographic record

VenueQuest-The Journal of UGC-HRDC Nainital · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationSociologyGenealogyGeographyHistoryArchaeology

Abstract

fetched live from OpenAlex

The process of colonisation has brought about several changes in the socio-cultural condition of the colonised countries as the imperialistic policy of waging wars against the third-world countries induced millions of people to migrate from their homeland to distant lands. In the novel ‘In the Skin of a Lion’, Ondaatje traces the inception of the process of migration to Canada and explicates the condition that leads to the multicultural social and cultural scenario of Canada. Moreover, he portrays the bourgeois tendency of colonisers who utilised the manual labour of the migrants and rarely provided suitable living and working conditions. This article has made a scrupulous study on the interconnection between the socio-cultural condition and the identity of an individual. This study claims that as the stable self represents the psychological wellbeing, individuals should strive hard to maintain their mental health and thereby play a significant role in the social development of the country. Ondaatje insists the government of the countries to acknowledge the contributions of all races and afford healthy living conditions to foster social eudemonia of the immigrants in ‘the new world’. He believes that the discouragement of ghettoisation, violence and racial discrimination would create endearing circumstances for the peaceful coexistence of various cultural groups. He affirms the need for the insistence on the value and dignity of all people regardless of their racial or ethnic origins, language or their religious affiliation.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.278
Teacher spread0.257 · 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.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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