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Record W3199025778 · doi:10.19195/0557-2665.68.12

Fuir la périphérie, ou comment la Pologne a voulu créer son image dans le premier, le second et le tiers monde. Étude des traductions des mensuels « La Pologne », « Polsko » et « La Revue Polonaise » en 1968

2021· article· en· W3199025778 on OpenAlexaff
Regina Solová

Bibliographic record

VenueRomanica Wratislaviensia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsPoliticsHumanitiesPolitical scienceWesternizationSociologyEconomyArtEconomicsLaw

Abstract

fetched live from OpenAlex

The paper deals with the image strategies of People’s Poland as a peripheral country based on an analysis of the elements of its foreign cultural policy carried out through translations in 1968. The quantitative and qualitative analysis of the content of the three versions of the review Polska. Czasopismo Ilustrowane [Poland. Illustrated Magazine], created to promote Poland in the world, is based on P. Bourdieu’s concept of capital. We start from two hypotheses: the first one about the valuation of cultural capital in the versions of the review addressed to capitalist (La Pologne. Revue Mensuelle) and socialist (Polsko. Obrázkový časopis) countries. The second — on the promotion of Poland’s economic and political capital in the version for “third world countries” (La Revue Polonaise. Magazine Illustré). Generally, both hypotheses are confirmed. The analysis also shows variations of the image strategies depending on the target readers: westernisation (emphasis on cultural ties to the West) and victimisation (Poland as a victim of history) in the version for the “first world”; strategy of utopia (emphasis on the achievements of a socialist country) in the version for the “second world”; idealisation (Poland as a peaceful, economically developed country) in the “third world” version. These strategies correspond to the key word of the political elites’ policy, “fleeing the periphery”.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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.

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

Citations3
Published2021
Admission routes1
Has abstractyes

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