def greenwald(model, m_name, lower=False):
"""
Conduct all WEAT comparisons of the nosek_harvest paper on the given model and save it in a text file in directory
:param model: Model to conduct the experiment
:param m_name: Model tag
:return: None
"""
file = open('./OUT_weat/greenwald/' + m_name + '#greenwaldB.txt', 'w')
print(lower)
print('#######################')
# Experiment 1
#file.writelines(call(model, ws.gw_flow, ws.gw_insec, ws.gw_pos, ws.gw_neg, 'gw_flowInsec', lower_case=lower))
#file.writelines(call(model, ws.gw_instr, ws.gw_weapon, ws.gw_pos, ws.gw_neg, 'gw_instrWeap_posneg', lower_case=lower))
# Experiment 2
file.writelines(call(model, ws.gw_Korean_names, ws.gw_Japanese_names, ws.gw_pos, ws.gw_neg, 'gw_japaneseKorean', lower_case=lower))
file.writelines(call(model, ws.gw_Korean_names, ws.gw_Truncated_Japanese_names, ws.gw_pos, ws.gw_neg, 'gw_japaneseKorean_truncted', lower_case=lower))
# Experiment 3
file.writelines(call(model, ws.gw_White_American_male_names, ws.gw_Black_American_male_names, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_male', lower_case=lower))
file.writelines(call(model, ws.gw_White_American_female_names, ws.gw_Black_American_female_names, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_female', lower_case=lower))
file.writelines(call(model, ws.European_American, ws.African_American, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_MF', lower_case=lower))
file.close()
def monteith_pettit(model, m_name, lower=False):
"""
Conduct all WEAT comparisons of the mp paper on the given model and save it in a text file in directory
:param model: Model to conduct the experiment
:param m_name: Model tag
:return: None
"""
mp = open('./OUT_weat/mp/' + m_name + '#mp', 'w')
depressed = ws.mp_depressed
physic_ill = ws.mp_physic_ill
permanent = ws.mp_permanent
temp = ws.mp_temporary
#depressed = [x for x in ws.mp_depressed if x in model]
#physic_ill = [x for x in ws.mp_physic_ill if x in model]
#delete = ['delete: '] + [x for x in ws.mp_depressed+ws.mp_physic_ill if x not in model]
#permanent = [x for x in ws.mp_permanent if x in model]
#temp = [x for x in ws.mp_temporary if x in model]
#delete.extend(x for x in ws.mp_permanent if x not in model)
#delete.extend(x for x in ws.mp_temporary if x not in model)
#print(delete)
#mp.writelines(delete)
mp.writelines(call(model, depressed, physic_ill, permanent, temp, 'mp_stability', lower_case=lower))
mp.writelines(call(model, depressed, physic_ill, ws.mp_controllable, ws.mp_uncontrollable, 'mp_controllability', lower_case=lower))
mp.writelines(call(model, depressed, physic_ill, ws.mp_mental, ws.mp_physical, 'mp_etiology', lower_case=lower))
mp.writelines(call(model, depressed, physic_ill, ws.mp_good, ws.mp_bad, 'mp_stability', lower_case=lower))
mp.close()
def nosek_harvest(model, m_name, lower=False):
"""
Conduct all WEAT comparisons of the nosek_harvest paper on the given model and save it in a text file in directory
:param model: Model to conduct the experiment
:param m_name: Model tag
:return: None
"""
file = open('./OUT_weat/nosek_harvest/' + m_name + '#nosek_harvest.txt', 'w')
# Race attitude
file.writelines(call(model, ws.harvest_white, ws.harvest_black, ws.harvest_good, ws.harvest_bad, 'race', lower_case=lower))
# Age attitude
file.writelines(call(model, ws.harvest_young, ws.harvest_old, ws.harvest_good, ws.harvest_bad, 'age', lower_case=lower))
# (c) gender– career stereotype, measuring the association of male-female terms with career and family terms
file.writelines(call(model, ws.harvest_m, ws.harvest_f, ws.harvest_career, ws.harvest_family, 'gendercareer_N', lower_case=lower))
file.writelines(call(model, ws.harvest_mII, ws.harvest_fII, ws.harvest_career, ws.harvest_family, 'gendercareer_T', lower_case=lower))
# (d) gender–science stereotype, measuring the association of male-female terms with science and liberal arts terms
file.writelines(call(model, ws.harvest_m, ws.harvest_f, ws.harvest_science, ws.harvest_libArts, 'Science_N', lower_case=lower))
file.writelines(call(model, ws.harvest_mII, ws.harvest_fII, ws.harvest_science, ws.harvest_libArts, 'Science_T', lower_case=lower))
# (e) self-esteem, measuring attitudes toward self versus other
file.writelines(call(model, ws.harvest_self, ws.harvest_other, ws.harvest_good, ws.harvest_bad, 'selfEsteem', lower_case=lower))
# (f) math–arts attitude;
file.writelines(call(model, ws.harvest_arts, ws.harvest_math, ws.harvest_good, ws.harvest_bad, 'Math', lower_case=lower))
file.writelines(call(model, ws.harvest_m, ws.harvest_f, ws.harvest_math, ws.harvest_arts, 'Math_N', lower_case=lower))
file.writelines(call(model, ws.harvest_mII, ws.harvest_fII, ws.harvest_math, ws.harvest_arts, 'Math_T', lower_case=lower))
file.close()
def greenwald_black_white(model, m_name, lower=False): # Experiment 3
file = open('./OUT_weat/' + m_name + '#greenwald_blackWhite.txt', 'w')
white_m = [x for x in ws.gw_White_American_male_names] # if x in model]
white_f = [x for x in ws.gw_White_American_female_names] # if x in model]
black_m = [x for x in ws.gw_Black_American_male_names] # if x in model]
black_f = [x for x in ws.gw_Black_American_female_names] # if x in model]
white = white_f + white_m
black = black_f + black_m
file.writelines(call(model, white_m, black_m, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_male', lower_case=lower))
file.writelines(call(model, white_f, black_m, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_female', lower_case=lower))
file.writelines(call(model, white, black, ws.gw_pos, ws.gw_neg, 'gw_blackWhite_MF', lower_case=lower))
file.close()
def greenwald_asian(model, m_name, lower=False): # Experiment 2
file = open('./OUT_weat/' + m_name + '#greenwald_asianNames.txt', 'w')
korean = [name for name in ws.gw_Korean_names] #if name in model]
japanese = [name for name in ws.gw_Japanese_names] # if name in model]
japanese_t = [name for name in ws.gw_Truncated_Japanese_names] # if list in model]
if korean and japanese:
file.writelines(call(model, korean, japanese, ws.gw_pos, ws.gw_neg, 'gw_japaneseKorean', lower_case=lower))
else:
logging.error('korean or japanese empty')
if korean and japanese_t:
file.writelines(call(model, korean, japanese_t, ws.gw_pos, ws.gw_neg, 'gw_japaneseKorean_truncted', lower_case=lower))
else:
logging.error('japanese truncated empty')
file.close()
def monteith_pettit_reverse(model, m_name, lower=False):
"""
Conduct all WEAT comparisons of the mp paper on the given model and save it in a text file in directory
:param model: Model to conduct the experiment
:param m_name: Model tag
:return: None
"""
mp = open('./OUT_weat/mp/' + m_name + '#mp', 'w')
depressed = ws.mp_depressed
physic_ill = ws.mp_physic_ill
permanent = ws.mp_permanent
temp = ws.mp_temporary
mp.writelines(call(model, permanent, temp, depressed, physic_ill, 'mpR_stability', lower_case=lower))
mp.writelines(call(model, ws.mp_controllable, ws.mp_uncontrollable, depressed, physic_ill,'mpR_controllability', lower_case=lower))
mp.writelines(call(model, ws.mp_mental, ws.mp_physical, depressed, physic_ill, 'mpR_etiology', lower_case=lower))
mp.writelines(call(model, ws.mp_good, ws.mp_bad, depressed, physic_ill, 'mpR_stability', lower_case=lower))
mp.close()
def nosek(model, m_name, lower=False):
"""
Conduct all WEAT comparisons of the nosek paper on the given model and save it in a text file in directory
:param model: Model to conduct the experiment
:param m_name: Model tag
:return: None
"""
file = open('./OUT_weat/nosek/' + m_name + '#nosek.txt', 'w')
pleasant_all = list(set(ws.Pleasant_1 + ws.Pleasant_2 + ws.Pleasant_3))
unpleasant_all = ws.Unpleasant_1 + ws.Unpleasant_2 + ws.Unpleasant_3
math = list(set(ws.Mathematics + ws.Mathematics_2 + ws.Science))
arts = list(set(ws.Language + ws.Arts))
# Math - attitude
n_ma_1 = call(model, math, arts, pleasant_all, unpleasant_all, 'nosek_MAcombi_PosNegcombi', lower_case=lower)
n_ma_2 = call(model, ws.Mathematics, ws.Arts, pleasant_all, unpleasant_all, 'nosek_MA_PosNegcombi', lower_case=lower)
# Math -identity
n_mi_1 = call(model, math, arts, ws.harvest_self, ws.harvest_other, 'nosek_MIcombi_SelfOther', lower_case=lower)
n_mi_2 = call(model, ws.Mathematics, ws.Arts, ws.harvest_self, ws.harvest_other, 'nosek_MI_SelfOther', lower_case=lower)
# Math-gender stereotype
n_gs_1 = call(model, math, arts, ws.Masculine, ws.Feminine, 'nosek_GScombi_MF', lower_case=lower)
n_gs_2 = call(model, ws.Mathematics, ws.Arts, ws.Masculine, ws.Feminine, 'nosek_GS_MF', lower_case=lower)
for res in [n_ma_1, n_ma_2, n_mi_1, n_mi_2, n_gs_1, n_gs_2]:
file.writelines(res)
file.close()
return False