scholarly journals Facial Trustworthiness and Criminal Sentencing: A Comment on Wilson and Rule (2015)

2019 ◽  
Vol 123 (5) ◽  
pp. 1854-1868
Author(s):  
Robin S. S. Kramer ◽  
Ellen M. Gardner
Keyword(s):  
Significant Influence ◽  
Real World ◽  
First Impressions ◽  
Criminal Sentencing ◽  
Criminal Cases ◽  
Multiple Images ◽  
To Receive ◽  
Larger Sample ◽  
Facial Trustworthiness ◽  
Sentencing Outcomes

Our first impressions of others, whether accurate or unfounded, have real-world consequences in terms of how we judge and treat those people. Previous research has suggested that criminal sentencing is influenced by the perceived facial trustworthiness of defendants in murder trials. In real cases, those who appeared less trustworthy were more likely to receive death rather than life sentences. Here, we carried out several attempts to replicate this finding, utilizing the original set of stimuli (Study 1), multiple images of each identity (Study 2), and a larger sample of identities (Study 3). In all cases, we found little support for the association between facial trustworthiness and sentencing. Furthermore, there was clear evidence that the specific image chosen to depict each identity had a significant influence on subsequent judgments. Taken together, our findings suggest that perceptions of facial trustworthiness have no real-world influence on sentencing outcomes in serious criminal cases.

Facial Trustworthiness Predicts Extreme Criminal-Sentencing Outcomes

2015 ◽  
Vol 26 (8) ◽  
pp. 1325-1331 ◽  
Author(s):  
John Paul Wilson ◽  
Nicholas O. Rule
Keyword(s):  
Criminal Sentencing ◽  
Facial Trustworthiness ◽  
Sentencing Outcomes

Mandatory First Impressions: Happy Expressions Increase Trustworthiness Ratings of Subsequent Neutral Images

Perception ◽  
2021 ◽  
Vol 50 (2) ◽  
pp. 103-115
Author(s):  
S. M. Thierry ◽  
A. C. Twele ◽  
C. J. Mondloch
Keyword(s):  
Multilevel Modeling ◽  
Facial Expressions ◽  
Real World ◽  
Face Processing ◽  
First Impressions ◽  
Automatic Process ◽  
Behavioral Consequences

First impressions of traits are formed rapidly and nonconsciously, suggesting an automatic process. We examined whether first impressions of trustworthiness are mandatory, another component of automaticity in face processing. In Experiment 1a, participants rated faces displaying subtle happy, subtle angry, and neutral expressions on trustworthiness. Happy faces were rated as more trustworthy than neutral faces; angry faces were rated as less trustworthy. In Experiment 1b, participants learned eight identities, half showing subtle happy and half showing subtle angry expressions. They then rated neutral images of these same identities (plus four novel neutral faces) on trustworthiness. Multilevel modeling analyses showed that identities previously shown with subtle expressions of happiness were rated as more trustworthy than novel identities. There was no effect of previously seen subtle angry expressions on ratings of trustworthiness. Mandatory first impressions based on subtle facial expressions were also reflected in two ratings designed to assess real-world outcomes. Participants indicated that they were more likely to vote for identities that had posed happy expressions and more likely to loan them money. These findings demonstrate that first impressions of trustworthiness based on previously seen subtle happy, but not angry, expressions are mandatory and are likely to have behavioral consequences.

scholarly journals The Fairness of Solidarity Bills under the Solidarity Value of Nowak and Radzik

Game Theory ◽  
2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Lawrence Diffo Lambo ◽  
Pierre Wambo
Keyword(s):  
Shapley Value ◽  
Real World ◽  
Side Effect ◽  
Tu Games ◽  
Unwanted Side Effect ◽  
The Disabled ◽  
Threshold Position ◽  
To Receive

The solidarity value is a variant of the well-known Shapley value in which some sense of solidarity between the players is implemented allowing the disabled to receive help from the fortunate ones. We investigate on how fairly solidarity expenses are shared. We discuss the unwanted side effect of someone paying undue solidarity contributions as far as reversing his condition from a privileged to a needy person. A deeper case study is conducted for two classes of TU games that we obtain by modeling two real world business contexts. Here, we trace all player to player transfers of funds that arise when solidarity actions are processed, and we answer the question of who settles the solidarity bills. Also, we obtain the threshold position of a player below which he gets solidarity help, but above which he instead pays out donation.

Predicting the Success of Mediation Requests Using Case Properties and Textual Information for Reducing the Burden on the Court

2021 ◽  
Author(s):  
Hsun-Ping Hsieh ◽  
JiaWei Jiang ◽  
Tzu-Hsin Yang ◽  
Renfen Hu
Keyword(s):  
Real World ◽  
Experimental Results ◽  
Criminal Cases ◽  
Time Saving ◽  
Textual Information ◽  
Negotiation Skill ◽  
Multiple Classifiers ◽  
Legal Case ◽  
Textual Data ◽  
F Measure

The success of mediation is affected by many factors, such as the context of the quarrel, personality of both parties, and the negotiation skill of the mediator, which lead to uncertainty for the predicting work. This paper takes a different approach from previous legal prediction research. It analyzes and predicts whether two parties in a dispute can reach an agreement peacefully through the conciliation of mediation. With the inference result, we can know if the mediation is a more practical and time-saving method to solve the dispute. Existing works about legal case prediction mostly focus on prosecution or criminal cases. In this work, we propose a LSTM-based framework, called LSTMEnsembler, to predict mediation results by assembling multiple classifiers. Among these classifiers, some are powerful for modeling the numerical and categorical features of case information, e.g., XGBoost and LightGBM; and, some are effective for dealing with textual data, e.g., TextCNN and BERT. The proposed LSTMEnsembler aims to not only combine the effectiveness of different classifiers intelligently, but also capture temporal dependencies from previous cases to boost the performance of mediation prediction. Our experimental results show that our proposed LSTMEnsembler can achieve 85.6% for F-measure on real-world mediation data.

Opportunities for improving how and when Canadians are informed about new prescription medications

2020 ◽  
pp. 427-447
Keyword(s):  
Lived Experiences ◽  
Mobile Application ◽  
Future Research ◽  
Prescription Medications ◽  
Structured Interviews ◽  
Risks And Benefits ◽  
Medication Information ◽  
First Time ◽  
To Receive ◽  
Larger Sample

The Canadian prescription process requires a person to go through several steps. Prescription medications have associated risks and benefits and it is important for people to be aware of these before and while they are taking medications. One of the approaches to informing people about new prescription medications is that they are provided Consumer Medication Information (CMI). CMI is given to Canadians at the pharmacy when they pick up prescriptions, they will be taking for the first time. This study used semi-structured interviews to examine the lived experiences of a sample of Canadians (N = 36) to identify opportunities for improvement in how and when they are informed about new prescription medications. The findings were synthesized into a journey map. Generally, participants wanted to receive CMI digitally and earlier in the prescription process. Adopting these changes could have several benefits which include loss prevention and increased accessibility to CMI as well as more participatory decision making and opportunities to ask questions. Future research is warranted to explore similar topics with a larger sample and determine what method (e.g., email, website, mobile application) would be most suitable.

Patterns and predictors of treatment in muscle-invasive bladder cancer (MIBC): A real-world study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16531-e16531
Author(s):  
Zengqi Lu ◽  
Jessica M. Clement ◽  
Qi Pan ◽  
Helen Swede ◽  
Rajni Mehta ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Real World ◽  
Alternative Treatment ◽  
Standard Care ◽  
Strong Predictor ◽  
Treatment Patterns ◽  
Cancer Center ◽  
Data Set ◽  
Adoption Rate ◽  
To Receive

e16531 Background: Among the approaches to curative-intent therapy for MIBC, neoadjuvant cisplatin-based chemotherapy (NAC) is recognized as the gold standard. The combined modality approach of concurrent chemo-radiation is also considered a standard of care. Despite guidelines recommending multidisciplinary care, studies have shown a low adoption rate of multidisciplinary approaches for MIBC. This study aimed to describe the treatment patterns for MIBC pts using real world data. Methods: Following the appropriate IRB approvals, investigators followed a common protocol under the auspices of the Rapid Case Ascertainment at the Yale Cancer Center. Manual chart review was performed on MIBC pts diagnosed in Connecticut from 2004 –2015 and treated at investigator-affiliated hospitals. Information on medical history, comorbidity, and treatment types were recorded. This data set was linked to the Surveillance, Epidemiology, and End Results (SEER) database for demographic information. The descriptive and logistic regression were used to analyze treatment patterns and predicators in each treatment lines: surgery alone, chemotherapy alone, radiation alone and standard care (NAC followed by surgery; surgery followed by adjuvant chemotherapy and concurrent chemo-radiation). Results: The number of adult MIBC pts in the cohort was 1,198. Among them, 290 (24.2%) received surgery as the only treatment; 117 (9.8%) received chemotherapy only; 100 (8.3%) received concurrent chemo-radiation; 96 (8.0%) received NAC followed by surgery. Besides age ( OR: 0.546, 95% CI: 0.289-0.986), when comparing female to male patients on the likelihood of receiving NAC to the alternative treatment types (radiation or surgery), female pts were less likely to receive NAC than males (OR: 0.421, 95% CI: 0.184-0.930). Conclusions: Regardless of demographics, the overall adoption rate of standard care was low, consisting of 236 pts (19.7%) of the population. From the logistic regression results, age was consistently shown as a predictor for receiving NAC over the alternative treatment types, and sex was identified as another strong predictor. Older and female patients were less likely to receive NAC than younger males.[Table: see text]

Three Graces

2020 ◽  
pp. 1-11
Author(s):  
Ita Mac Carthy
Keyword(s):  
Fifteenth Century ◽  
Classical Tradition ◽  
Real World ◽  
Love Poetry ◽  
The Real ◽  
Verbal Language ◽  
The Arts ◽  
To Receive ◽  
Poetry And Music

This introductory chapter analyses the April fresco depicting the three Graces of classical tradition in the Salone dei mesi (Room of the months) of Ferrara's Palazzo Schifanoia. The Allegory of April transforms the abstract qualities of grace into an eloquent verbal language that is read from top to bottom by following the line of their spiritual passage from the heavens to deserving mortals below. Close allies of beauty and faithful escorts to Love, these qualities inspire the arts of love, poetry, and music. Through the sign of Taurus, they infuse the powers of liberality into the hearts of the elect. An ideal rather than a realistic portrait of universal grace and sociability, though, the fresco also conveys the real-world dearth of its qualities. For although the fresco's painter, Francesco del Cossa, paints grace with grace, he fails to receive grace in return. He shares in a problem that fifteenth-century poets, artists, male courtiers, and court ladies knew well: the problem of what happens when the grace personified and idealized in the figure of the three Graces meets with nothing but ingratitude.

Real-world patterns and predictors of first-line maintenance use among patients with newly diagnosed advanced ovarian cancer: Is there an opportunity for change?

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18710-e18710
Author(s):  
Jinan Liu ◽  
Premal H. Thaker ◽  
Janvi Sah ◽  
Eric M. Maiese ◽  
Oscar Bee ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Maintenance Therapy ◽  
Real World ◽  
Index Date ◽  
Advanced Ovarian Cancer ◽  
Newly Diagnosed ◽  
First Line ◽  
Receive Maintenance Therapy ◽  
Platinum Based Chemotherapy ◽  
To Receive

e18710 Background: With the advent of poly(ADP-ribose) polymerase inhibitors (PARPi), options for first-line (1L) maintenance therapy in ovarian cancer (OC) have evolved in the US. This study described the use of 1L maintenance and assessed predictors of 1L maintenance use among PARPi-eligible patients (pts) with OC in a real-world setting. Methods: This retrospective cohort study included pts with newly diagnosed stage III/IV epithelial OC who received 6–9 cycles of 1L platinum-based chemotherapy (PBC) and primary or interval debulking surgery following neoadjuvant chemotherapy between Jan 1, 2016, and Feb 29, 2020, from the nationwide Flatiron Health electronic health record–derived deidentified database. The end of the last cycle of 1L PBC was defined as the index date. Those pts who started second-line chemotherapy within 2 months of the index date were excluded. Logistic regression was used to analyze variables with regard to 1L maintenance use. Results: In total, 463 pts were included; 21% received maintenance therapy, 79% received active surveillance. Baseline characteristics are shown in the table. Overall maintenance therapy use increased over the study period, from 7.7% to 37.7%. Pts with BRCA wild type were significantly less likely to receive maintenance therapy (odds ratio [OR]: 0.30; 95% CI, 0.16–0.59) than pts with BRCA mutation. Pts treated in 2018 (OR: 2.73; 95% CI, 1.25–5.98) and 2019 (OR: 8.78; 95% CI, 4.15–18.55) were significantly more likely to receive maintenance therapy than pts treated in 2017. Age, race, practice type, ECOG score, and residual disease status were not significant predictors of 1L maintenance use. Conclusions: Nearly 40% of pts with advanced stage OC received upfront maintenance therapy with an increasing trend over time, particularly in those with biomarker guidance. Research is warranted toward addressing barriers to the appropriate use of maintenance therapy.[Table: see text]

scholarly journals Legal Judgment Prediction Based on Multiclass Information Fusion

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Kongfan Zhu ◽  
Rundong Guo ◽  
Weifeng Hu ◽  
Zeqiang Li ◽  
Yujun Li
Keyword(s):  
Information Fusion ◽  
Real World ◽  
Large Scale ◽  
State Of The Art ◽  
External Information ◽  
Criminal Cases ◽  
Law System ◽  
Large Scale Dataset ◽  
Assistant Systems ◽  
Civil Law System

Legal judgment prediction (LJP), as an effective and critical application in legal assistant systems, aims to determine the judgment results according to the information based on the fact determination. In real-world scenarios, to deal with the criminal cases, judges not only take advantage of the fact description, but also consider the external information, such as the basic information of defendant and the court view. However, most existing works take the fact description as the sole input for LJP and ignore the external information. We propose a Transformer-Hierarchical-Attention-Multi-Extra (THME) Network to make full use of the information based on the fact determination. We conduct experiments on a real-world large-scale dataset of criminal cases in the civil law system. Experimental results show that our method outperforms state-of-the-art LJP methods on all judgment prediction tasks.

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