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.
Bibliographic record
Abstract
This study aims to examine the morphological aspects and their application in micro linguistics and micro linguistics. Linguistics in terms of study can be divided into two types, namely micro linguistics and macro linguistics. Micro linguistics is understood as linguistics which has a narrower nature of the study. That is, it is internal, only sees language as language. Macro linguistics is broad, the nature of the study is external. Linguistics studies language activities in other fields, such as economics and history. Language is used as a tool to see language from the point of view from outside the language. Language can be seen descriptively, historically comparative, contrastive, synchronic, and diachronic. Descriptive linguistics looks at living languages as they are. Comparative linguistics compares two or more languages at different periods. Contrastive linguistics compares the languages of a particular period or contemporaries. This study looks for similarities and differences in the fields of structure: phonology, morphology, syntax, and semantics. Synchronic linguistics questions the language of a particular mass. In this study, we do not compare with other languages and other periods. Thus, this linguistic study is horizontal.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it