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
Anecdotal evidence from second language users and results from experimental studies indicate that affectively valent words are not always represented identically in a person’s first language (L1) and second language (L2) mental lexicons. The present study investigated whether such differences reflect how automatic (immediate, involuntary) the processing is of the affective element of affectively valent words, and what the relation is between this kind of processing and general word recognition efficiency for L2 words lacking affective valency. Participants were 48 L1 speakers of English with L2 French. Automaticity of processing adjectives with affective valence was operationalized using an Implicit Affect Association Task (IAAT) developed for this purpose. General efficiency in L2 word recognition was operationalized using a speeded semantic classification task with affectively neutral concrete nouns. Reaction time results from the IAAT showed that the processing of affectively valent words was less automatic in the L2 than in the L1. However, results from the semantic classification task indicated that this effect is not related to general weaker L2 word recognition abilities. Implications for an understanding of the L2 mental lexicon are discussed.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it