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Record W4384008251 · doi:10.32920/23589576

Remains of communism: an autoethnographic study of a Romanian-Canadian girl

2023· preprint· en· W4384008251 on OpenAlexaffabout
Cezara Chesu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsUniversity of WindsorToronto Metropolitan University
Fundersnot available
KeywordsCommunismRomanianFellDemocracyGirlCommunist stateEconomic historyPolitical scienceHistoryLawGeographyPoliticsPhilosophyCartographyPsychology

Abstract

fetched live from OpenAlex

<p>People migrate every single day and have been doing so since the beginning of the humankind. It is not something new, nor something out of the ordinary. That being said, all stories of migration are different depending on the push and pull factors of both the country of origin and the country of migration. Through this paper, I want to acknowledge my story and how it is different. I was born in post-communist Romania to a family that had lived their entire life in a wildly aggressive communist regime. I grew up in Romania in what was called a "democracy" at the time. My growing up however, was not democratic at all. Communism in Romania had never quite dissipated. While there is a sense that communism fell nearly overnight, in truth, the system was not so quickly dismantled. As a result, my entire childhood was influenced by the remains of communism.</p>

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)0.008
metaresearch head score (Gemma)0.001
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 score0.168
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0000.001
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 head0.336
GPT teacher head0.495
Teacher spread0.159 · 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
Published2023
Admission routes2
Has abstractyes

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