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Record W4220673006 · doi:10.5430/wjel.v12n2p359

The Compound and Complex Sentence: A Comparative Study of Albanian and English Syntax

2022· article· en· W4220673006 on OpenAlex
Shkëlqim Millaku, Myrvete Dreshaj – Baliu, Xhevahire Millaku

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsSyntaxLinguisticsSentenceComputer scienceGeopoliticsContrast (vision)Artificial intelligenceHistoryNatural language processingPolitical sciencePhilosophyPolitics

Abstract

fetched live from OpenAlex

In the emerging geopolitics of the modern world, English has assumed the undisputed status of the preferred international language of communication. Thus, though cultures across the world are keen on self-preservation, allowing English to make inroads into the everyday lives of the people is a bygone conclusion. Albanian and English belong to the same language family (Indo-European) and hence share many commonalities. At the same time, they also exhibit many features of departure from the shared characteristics, and research into these is greatly significant from the language learners’ vantage. This paper has to analyse the compound and the complex sentence between English and Albanian language. Both these languages have the compound sentences. However, between the two languages, the sentences show certain similarities as well as dissimilarities. We have the contrast structure.

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)0.001
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 score0.053
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.256
Teacher spread0.225 · 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