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Record W3019450620 · doi:10.21301/eap.v15i1.5

The Novel “Snowman” by David Albahari. A Socio-Anthropological Reading

2020· article· en· W3019450620 on OpenAlexaboutno aff
Marija Brujić

Bibliographic record

VenueEtnoantropološki problemi / Issues in Ethnology and Anthropology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyDiasporaImmigrationSociologyReading (process)EmigrationHegemonyBiographyAnthropologyHistoryGender studiesArt historyLinguisticsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

In this paper ideas of literary anthropology that legitimize research of fiction work in socio-cultural anthropology are combined with the theories and methodologies of migration studies. Novels can be used as a source for understanding and interpreting certain phenomena from our socio-cultural reality and be an object of research. Therefore, this paper analyzes the novel Snowman (1996) by David Albahari from his so-called “Canadian Trilogy”. It is his first novel after his emigration to Canada from Serbia in 1994. This paper aims to draw attention to the possibilities and potentials of anthropological analysis of Serbian literature that originated in Canada as one of the possible strands of literary anthropology. Is a prerequisite for successful integration of the first generation of immigrants good competence in the foreign language, a prestigious and well-paid job, and higher education? The answer to this question can contribute to a better understanding of the fictional representation of migrants and be useful in anthropological studies of contemporary migrations. To test this hypothesis, we have juxtaposed the novel “Snowman” with Albahari’s collection of essays “Diaspora and other things” on the life of immigrants in Canada based on the author's personal experiences and experiences of his co-nationals in Canada, and working biography of the author. Furthermore, we test Robert Park’s concept of the “marginal man”. While researching American Jews, Park concluded that they are “men on the margin of the two cultures” and that “marginal men personality” is a “cultural hybrid”, developed as a reaction to life in new surroundings. Finally, in the analysis section Milton Bennett’s method “developmental model of intercultural sensitivity” is used. Bennett’s model consists of six stages: denial, defense, minimization (first stage) and acculturation, adaptation, integration (second stage) and can be applied for the purpose of interpreting immigrants’ experiences in a foreign society. The main character of the novel “Snowman” is a writer from a small European country which is at war. He got a job at a university in a faraway northern non-European country and speaks their language fluently. However, he is nostalgic and homesick, feels misunderstood among his new colleagues and his new life seems to him hopeless. Finally, overburdened with all these emotions, he succumbs to heavy snowfall. Previous research of working migrants suggests that incompetence in the language of the country of residence, a low paid and unskilled job and low level of education are the main factors for their low level of integration. On the other hand, using the example of the educated main character from the novel, this paper shows that adaptation, integration, and positive emotions, such are pleasure and happiness, do not have to correlate with the level of education, language competence, and prestigious employment in a foreign country. In other words, the protagonist of the “Snowman” did not want to develop intercultural sensitivity. Therefore, we propose that migration studies should research not only what migrants do and how they behave but how they feel in their new surroundings. In this respect, migration literature with biographical elements may serve as an important source for this kind of research.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.041
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.361
Teacher spread0.325 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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