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Cassandra Hartblay. I Was Never Alone or Oporniki: An Ethnographic Play on Disability in Russia. Toronto: University of Toronto Press, 2020

2024· article· ru· W4391029872 on OpenAlexaboutno aff
Анна Александровна Клепикова

Bibliographic record

VenueLaboratorium Russian Review of Social Research · 2024
Typearticle
Languageru
FieldSocial Sciences
TopicMigration, Health, Geopolitics, Historical Geography
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographySociologyMedia studiesHistoryAnthropology

Abstract

fetched live from OpenAlex

Книга Кассандры Хартблэй, представляющая собой попытку антропологического изучения инвалидности в одном российском городе, написана в экспериментальном для подобного исследования жанре. Это самая настоящая пьеса, созданная по результатам этнографической работы автора и опирающаяся на материалы интервью. Драматическая часть (собственно пьеса) состоит из шести сцен, представляющих вниманию читателя шесть главных персонажей – три женских образа и три мужских. Произведение снабжено авторскими вводными замечаниями и заключающим «этнографическим эссе». В конце можно найти приложения с заметкамидля режиссеров и актеров, а также фотографиями уже прошедших постановок и читок пьесы. Текст на русском языке

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.765
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.004
Science and technology studies0.0010.004
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.054
GPT teacher head0.410
Teacher spread0.356 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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