Bibliographic record
Abstract
The cognitive semantic analysis of denotational incongruencies by means of comparative investigations of structural field patterns (cf. Jäkel 2001 , 2003 , 2010 ) can also be put to use in the investigation of certain kinds of contested concepts ( Lakoff 1993 ), namely cases in which the field patterns themselves are under dispute. The case to be analysed is that of marriage, a cultural concept that has recently come under dispute in the socio-political discourse of Western countries. Competing cultural models (cf. Lakoff 1987 ) to be compared in this context include the traditional/conservative model as well as different versions of a more tolerant model and a liberal/progressive model. The analysis will focus on authentic language data from the United States, Canada, Great Britain, and Germany, supplemented by a diachronic comparison of dictionary definitions as well as the results of a survey done with young German informants.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.010 | 0.038 |
| Scholarly communication | 0.017 | 0.034 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".