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Record W4235704634 · doi:10.24198/mh.v9i2.22674

PEMBENTUKAN IDENTITAS HIBRID TOKOH IMIGRAN DALAM ROMAN LANDNAHME KARYA CHRISTOPH HEIN

2020· article· id· W4235704634 on OpenAlex
Wedar Pahala Lingga, N. Rinaju Purnomowulan, Muhamad Adji

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMetahumaniora · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Artikel ini berjudul “Pembentukan Identitas Hibrid Tokoh Imigran dalam Roman Landnahme Karya Christoph Hein”. Artikel ini bertujuan untuk mengemukakan pembentukan identitas hibrid tokoh imigran dalam Roman Landnahme Karya Christoph Hein. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dan deskriptif. Penenlitian ini menggunakan teori hibriditas Bhabha (1994) dan integrasi imigran Heckmann (2015). Hasil dari penelitian ini adalah (1) tokoh mengalami pe-liyan-an karena ia seorang imigran, (2) adaptasi tokoh dengan budaya Jerman yakni melalui pengaitan diri dengan masa lalu dan peniruan budaya lain, dan (3) identitas hibrid yang dimanifestasikan tokoh yakni menggunakan dialek campuran dalam berkomunikasi. Penelitian ini membuktikan bahwa identitas adalah konsep yang cair.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.089
GPT teacher head0.360
Teacher spread0.270 · 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