{"id":"W2061344602","doi":"10.3138/cmlr.58.2.246","title":"Identifying and Bridging Cross-Cultural Prototypes: Exploring the Role of Collaborative Dialogue in Second Language Lexical Meaning Acquisition","year":2001,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Linguistics; Sociocultural evolution; Meaning (existential); Sociocultural perspective; Language acquisition; Psychology; Negotiation; Situated; Second-language acquisition; Perspective (graphical); Context (archaeology); Computer science; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006708641,0.0003732241,0.0004938805,0.001472316,0.003080415,0.004974654,0.001576893,0.001420374,0.001827687],"category_scores_gemma":[0.02290949,0.0003321534,0.000371523,0.0008575815,0.0106821,0.005138972,0.005232973,0.001181853,0.0001607057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224365,"about_ca_system_score_gemma":0.00317907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327216,"about_ca_topic_score_gemma":0.01681017,"domain_scores_codex":[0.9941152,0.004292538,0.0001180958,0.0004810953,0.0006809643,0.000311974],"domain_scores_gemma":[0.9870663,0.01051441,0.0008165616,0.0006136337,0.0005655425,0.0004235013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001018178,0.0001498803,0.008143894,0.0002952851,0.00001836811,0.0009792292,0.8892896,0.0003322374,0.00582369,0.0233974,0.0003520748,0.07111653],"study_design_scores_gemma":[0.00008007339,0.0006633992,0.02720099,0.0002940253,0.00005656737,0.001906571,0.9026055,0.003606963,0.004145371,0.0355167,0.02378604,0.0001377819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589078,0.000942911,0.01840982,0.0008618942,0.0000349131,0.0001323907,0.000008765714,0.00003612333,0.02066539],"genre_scores_gemma":[0.9899818,0.0003233891,0.008554033,0.00005230437,0.000004350837,0.00006491789,0.000008497091,0.00000841644,0.001002206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327216,"threshold_uncertainty_score":0.03547907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598822565710684,"score_gpt":0.2926440339211778,"score_spread":0.266655808264071,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}