{"id":"W2607632436","doi":"10.1080/07294360.2017.1325855","title":"Visualising the future: surfacing student perspectives on post-graduation prospects using rich pictures","year":2017,"lang":"en","type":"article","venue":"Higher Education Research & Development","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Employability; Student debt; Context (archaeology); Graduation (instrument); Higher education; Work (physics); Public relations; Recession; Political science; Sociology; Pedagogy; Psychology; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002085896,0.0006180839,0.0003521038,0.001326518,0.002339697,0.003470338,0.0006875366,0.00201944,0.005803473],"category_scores_gemma":[0.004511552,0.0002780172,0.0004313074,0.0006438571,0.00210385,0.003848054,0.003504046,0.002384647,0.0008748161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009717617,"about_ca_system_score_gemma":0.0005732616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002526014,"about_ca_topic_score_gemma":0.006088696,"domain_scores_codex":[0.9990422,0.0006308927,0.00002042956,0.00006020661,0.0001103431,0.0001357799],"domain_scores_gemma":[0.9981103,0.001210646,0.0001299087,0.00007896574,0.0001505215,0.0003196823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001641155,0.0000761667,0.006274241,0.0002584917,0.00001665385,0.001596255,0.9576882,0.0002236494,0.00354391,0.004389343,0.005942157,0.01982695],"study_design_scores_gemma":[0.00001035705,0.0002519295,0.01089039,0.0002946017,0.00002117642,0.0009499092,0.9221253,0.0006530897,0.0009509507,0.001440763,0.0623411,0.00007038881],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487603,0.001380331,0.008099426,0.005205238,0.0002457557,0.0001547353,0.000308261,0.0001911896,0.03565476],"genre_scores_gemma":[0.9883436,0.0009419203,0.002602855,0.0004568916,0.00004917921,0.00008113919,0.00008645463,0.00005787288,0.007380093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005803473,"threshold_uncertainty_score":0.01941454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229265813970669,"score_gpt":0.4985807810927422,"score_spread":0.3756541996956753,"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."}}