{"id":"W1602586658","doi":"","title":"Tackling the Issues and Challenges of Using Video Data in Adult Literacy Research.","year":2007,"lang":"en","type":"article","venue":"Australian Journal of Adult Learning","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rigour; Literacy; Data collection; Adult literacy; Adult education; Field (mathematics); Publishing; Narrative; Pedagogy; Psychology; Sociology; Social science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3560955,0.0008619127,0.001400092,0.01170479,0.009708338,0.01704872,0.004871604,0.007308954,0.002559982],"category_scores_gemma":[0.6463339,0.001873925,0.000914024,0.01879437,0.01626938,0.01816212,0.009957803,0.007652168,0.001195269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006782145,"about_ca_system_score_gemma":0.01447162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02560925,"about_ca_topic_score_gemma":0.05134394,"domain_scores_codex":[0.4339087,0.4937851,0.02532672,0.007172131,0.03802927,0.001777956],"domain_scores_gemma":[0.171235,0.7250876,0.03411411,0.02144334,0.04580399,0.002315905],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004654496,0.0003921722,0.06757937,0.01606606,0.0006207972,0.002419865,0.3593153,0.001734413,0.004107036,0.1161699,0.03411974,0.3970099],"study_design_scores_gemma":[0.0001904882,0.0009551138,0.05347566,0.03869005,0.0004722363,0.006565534,0.422196,0.00795026,0.006742584,0.1618574,0.3002162,0.0006884368],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1505549,0.04616771,0.538664,0.1892941,0.005974032,0.009616841,0.004778182,0.0003375397,0.05461268],"genre_scores_gemma":[0.4821395,0.01766908,0.4454807,0.02716318,0.002421573,0.01748184,0.001264792,0.0004413308,0.005938028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6439046,"threshold_uncertainty_score":0.7940489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2432034374758448,"score_gpt":0.5049238953853099,"score_spread":0.2617204579094651,"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."}}