{"id":"W1966887098","doi":"10.1108/17557501311316806","title":"Remembering “Aunt Emma”: small retailing between nostalgia and a conflicted past","year":2013,"lang":"en","type":"article","venue":"Journal of Historical Research in Marketing","topic":"Decadence, Literature, and Society","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modernization theory; Originality; Aunt; Narrative; Value (mathematics); German; Sociology; Quarter (Canadian coin); Economy; History; Advertising; Social science; Political science; Law; Business; Economics; Qualitative research; Art; Literature; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02222033,0.000112373,0.0003479959,0.0003326928,0.0006359697,0.0003402865,0.0004170484,0.000218012,0.00009292131],"category_scores_gemma":[0.008996644,0.00009958676,0.0001100343,0.0008814349,0.0002628368,0.0004397073,0.0001359348,0.001730075,0.000005897906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765735,"about_ca_system_score_gemma":0.0002910103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195302,"about_ca_topic_score_gemma":0.0001087672,"domain_scores_codex":[0.9949859,0.001992052,0.0006945159,0.0002285311,0.001370735,0.0007282498],"domain_scores_gemma":[0.9942027,0.003996062,0.0002502882,0.0001264664,0.0009312965,0.0004931967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004365715,0.0002451988,0.7212625,0.0005050665,0.000139617,0.0006245731,0.1063426,0.000008693337,0.006024492,0.002267226,0.04285402,0.1192894],"study_design_scores_gemma":[0.001181281,0.0002790638,0.2246014,0.001539797,0.00002417536,0.00003069296,0.02328861,0.0002614603,0.00003054023,0.003263913,0.7450188,0.0004802711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612858,0.002300457,0.000055506,0.00391335,0.0003342418,0.0002507666,6.821165e-7,0.00001550891,0.03184373],"genre_scores_gemma":[0.9926116,0.0007448602,0.002205389,0.00003784151,0.001302868,0.000005850144,4.066775e-7,0.00001515532,0.003076069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7021648,"threshold_uncertainty_score":0.999351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235573092827479,"score_gpt":0.3835893430984756,"score_spread":0.2600320338157277,"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."}}