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Record W7043440041

Suffixes Forming Adjective Found in the Novel Peter Pan

2019· other· en· W7043440041 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository Warmadewa University (Warmadewa University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAdjectiveSuffixNounPart of speechVerbClass (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

This study aims to describe the suffixes forming adjective found in the Novel Peter Pan and the bases that are possibly changed into adjective. The data of this research were taken from the novel entitled Peter Pan by J.M Barrie. The main theory which is used in analyzing the data is theory of suffixes by Bauer (1983). The data were collected by reading. After collecting, the data were classified based on scope discussions. The result showed that there are six kinds of part of speech that were found, namely; noun, verb, adverb, adjective, conjunctions, pronoun. Suffix forming adjective is the process of forming adjective by adding suffixes to another word class. In the data, it is found that there are three kinds of word class bases that can be attached with suffixes to form adjective, they are noun base, verb base, and adjective base. Furthermore, based on the result of the research which was described descriptively, it can be concluded that suffixes forming adjective there are some points that can be taken as the conclusion. There are six kinds of part of speech that were found, namely; noun, verb, adverb, adjective, conjunctions, pronoun. Suffix forming adjective is the process of forming adjective by adding suffixes to another world class. In the data, it is found that there are three kinds of word class bases that can be attached with suffixes to form adjective, they are noun base, verb base, and adjective base.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.012
GPT teacher head0.191
Teacher spread0.179 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository Warmadewa University (Warmadewa University)French-language works237,207