{"id":"W7135157997","doi":"","title":"Can Young Children Make Sense of their Own Data through Constructive Physicalization? A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Constructive; Qualitative research; Qualitative analysis; Qualitative property; Reflection (computer programming); Identification (biology)","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":[0.04942618,0.001338707,0.001946128,0.002739036,0.0213374,0.01364626,0.004059906,0.003845884,0.005405872],"category_scores_gemma":[0.06078154,0.00216113,0.0009329999,0.002608435,0.02878109,0.00926357,0.01953639,0.0104974,0.0007708472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008423542,"about_ca_system_score_gemma":0.01142556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006811956,"about_ca_topic_score_gemma":0.0163221,"domain_scores_codex":[0.9619305,0.02953405,0.001090608,0.001943095,0.002178679,0.003323118],"domain_scores_gemma":[0.9035824,0.07698571,0.004580928,0.003348267,0.004855561,0.006647074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000132117,0.00004056755,0.0007182796,0.00009147271,0.00000280709,0.0003668891,0.9965186,0.000005828058,0.0002534046,0.0006470903,0.0001374702,0.001204303],"study_design_scores_gemma":[0.000005892142,0.00004120122,0.0005402023,0.0001347079,0.000005721992,0.0002814491,0.9925741,0.00001330824,0.0001744206,0.0002139066,0.006004096,0.00001100092],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682967,0.001445139,0.006675055,0.005871369,0.0002227544,0.001000563,0.0002408278,0.00007369503,0.01617398],"genre_scores_gemma":[0.9880603,0.001315573,0.003273863,0.00125101,0.00003956745,0.001054654,0.00008012658,0.00008024664,0.004844608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04942618,"threshold_uncertainty_score":0.2613938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375015098083427,"score_gpt":0.3117815409863195,"score_spread":0.2880313900054852,"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."}}