{"id":"W4391614939","doi":"10.18260/1-2--42325","title":"“Just a little bit on the outside for the whole time”: Social belonging confidence and the persistence of machine learning and artificial intelligence students","year":2024,"lang":"en","type":"article","venue":"","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mentorship; Field (mathematics); Persistence (discontinuity); Artificial intelligence; Computer science; Identity (music); Thematic analysis; Psychology; Mathematics education; Sociology; Qualitative research; Social science; Mathematics; Medical education","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001892213,0.00006952936,0.00009574513,0.00002642663,0.001535448,0.0003155275,0.0002662638,0.0000316035,0.0001074882],"category_scores_gemma":[0.0003457833,0.00003448364,0.00005621381,0.000171548,0.0008435972,0.00007856754,0.0001624283,0.000135056,0.00001314675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272936,"about_ca_system_score_gemma":0.0000558682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008363424,"about_ca_topic_score_gemma":0.0008673801,"domain_scores_codex":[0.9991212,0.0001135783,0.000111658,0.0001556265,0.0003489477,0.0001489261],"domain_scores_gemma":[0.997879,0.001950479,0.00003748549,0.00005037706,0.00005832611,0.0000243307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002279261,0.00003294421,0.009118703,0.0000463642,0.0001650763,0.000003524528,0.3183525,0.00001870448,0.0001745374,0.6137459,0.001733404,0.05638046],"study_design_scores_gemma":[0.0007062468,0.0002146064,0.01299045,0.0003678615,0.0005291722,0.000004994275,0.8451897,0.03661489,0.001329019,0.04420947,0.05711955,0.0007240484],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8236128,0.003933385,0.006834175,0.1307012,0.0008899637,0.002610373,0.000052658,0.000200142,0.03116526],"genre_scores_gemma":[0.9953561,0.0001199443,0.00003296716,0.0001843427,0.00007861386,0.000008934645,8.453094e-7,0.000003320832,0.004214874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5695364,"threshold_uncertainty_score":0.9997644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970317786342377,"score_gpt":0.3254367912616415,"score_spread":0.2557336133982178,"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."}}