{"id":"W4415261313","doi":"10.2139/ssrn.5614631","title":"An Investigation of Older Children’s Reasoning about Personal Data Transfers","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Entitlement (fair division); Normative; Personally identifiable information; Property (philosophy); Survey data collection; Motivated reasoning; Data Protection Act 1998","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":[0.003745748,0.0004631917,0.0005061622,0.001271909,0.0009715193,0.002374102,0.0006691103,0.001048499,0.004494648],"category_scores_gemma":[0.02732914,0.0006523895,0.0005577939,0.000854901,0.001314155,0.0022956,0.001144694,0.001776162,0.0006786754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176489,"about_ca_system_score_gemma":0.001346478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519135,"about_ca_topic_score_gemma":0.02127159,"domain_scores_codex":[0.9987587,0.0003530369,0.0001984856,0.0002092383,0.0003065168,0.0001740653],"domain_scores_gemma":[0.9772474,0.01473144,0.003980926,0.0009762389,0.002304429,0.0007595194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004562116,0.001045736,0.7333947,0.0001937465,0.00006113113,0.002116247,0.2400541,0.0001575717,0.002910595,0.0006873017,0.0006718477,0.01825074],"study_design_scores_gemma":[0.0001156407,0.00156707,0.8497951,0.0001904192,0.0002047843,0.003657761,0.1311118,0.0009238959,0.003336852,0.001130611,0.00788461,0.00008136129],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986339,0.00007333524,0.00005517215,0.00005076602,0.000003009312,0.00001480388,0.00005404479,0.000003444575,0.001111558],"genre_scores_gemma":[0.9978918,0.0001735491,0.0003486663,0.00008186496,0.000004451717,0.00003570775,0.0001091976,0.000005006918,0.00134978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02519135,"threshold_uncertainty_score":0.05008948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462753777004779,"score_gpt":0.2924660551417289,"score_spread":0.2778385173716811,"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."}}