{"id":"W2019070947","doi":"10.1007/s11423-006-0640-8","title":"Internet and Literacy in the Developing World: Delivering the Teacher with the Text","year":2006,"lang":"en","type":"article","venue":"Educational Technology Research and Development","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Educational technology; The Internet; Literacy; Literacy education; Adult literacy; Developing country; Computer science; Mathematics education; Sociology; Pedagogy; Multimedia; Psychology; World Wide Web; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499563,0.0001651604,0.0002057617,0.000671544,0.003118066,0.006040175,0.0005228021,0.00255582,0.01003554],"category_scores_gemma":[0.007327258,0.0001402185,0.0001283922,0.0008164723,0.002909077,0.006153817,0.002822442,0.003202034,0.001416194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826981,"about_ca_system_score_gemma":0.008395632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008470356,"about_ca_topic_score_gemma":0.01317282,"domain_scores_codex":[0.9992436,0.0004027473,0.00002303563,0.00004598622,0.00009622533,0.0001884099],"domain_scores_gemma":[0.9962037,0.001752659,0.0003089736,0.00007398639,0.0003111541,0.001349544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001614025,0.001668136,0.03226834,0.0007447795,0.00001479309,0.002287507,0.1355242,0.0002909529,0.002331694,0.1269769,0.1172061,0.5805252],"study_design_scores_gemma":[0.0001106665,0.0005196181,0.03766553,0.002207677,0.00005903729,0.001633869,0.2776051,0.0007315857,0.002732465,0.05190228,0.6247784,0.00005367077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2615107,0.01699224,0.00290239,0.410735,0.0008462494,0.00008896911,0.0001081911,0.0001650166,0.3066513],"genre_scores_gemma":[0.9178887,0.02075066,0.002295963,0.01109095,0.0005699925,0.00009994839,0.00005621003,0.00005979522,0.04718775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003554,"threshold_uncertainty_score":0.03357226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015303597564642,"score_gpt":0.4765296229348145,"score_spread":0.3749992631783503,"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."}}