Bibliographic record
Abstract
The paper titled Nominal Group as Qualifier to ‘Someone’ investigated types of qualifiers which are embedded to the head ‘someone’ in a nominal group. This research was conducted in the light of Systemic Functional Linguistics analysis. The data was analyzed, classified then described using descriptive qualitative method. This research produced four classifications of nominal group as qualifier, which were clauses, prepositional phrases, nominal groups, and linked independent element. The clause as qualifier is sub-classified into finite and non-finite clauses. Further sub-classification is conducted over finite clause into Full Relative Clause (FRC), Relative Clause with Preposition (RCP), and Contact Clause (CC). Further sub-classification over non-finite clause resulted in Operative Imperfective Non Finite Clause (OINFC), Receptive Imperfective Non Finite Clause (RINFC), and Operative Perfective Non Finite Clause (OPNFC). This research also found qualifiers which consisted of two or more linked non-embedding elements.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".