The imperfect observer: Mind, machines, and materialism in the 21st century

The dualist / materialist debates about the nature of consciousness are based on the assumption that an entirely physical universe must ultimately be observable by humans (with infinitely advanced tools). Thus the dualists claim that anything unobservable must be non-physical, while the materialists argue that in theory nothing is unobservable. However, there may be fundamental limitations in the power of human observation, no matter how well aided, that greatly curtail our ability to know and observe even a fully physical universe. This paper presents arguments to support the model of an inherently limited observer and explores the consequences of this view

The Eliza effect and its dangers: from demystification to gender critique

This essay provides a gender critique of the Eliza effect. It delineates the way in which the Eliza effect is operationalised in AI research even as it is ostensibly demystified, for example in the writings of Douglas Hofstadter and Joseph Weizenbaum. It then exposes the gendered assumptions embedded in the nomenclature used to name this misperception of the computer as having capabilities equivalent to the human. It traces the genealogy of that nomenclature back through Weizenbaum’s ELIZA, to George Bernard Shaw’s Pygmalion. A close reading of the play is deployed in order to reveal the structural inequities of gender, class, and who or what gets to be human, that are both explored in the play and encoded in the operation and operationalisations of the Eliza effect. It concludes by attending to that operation and operationalisation in relation to today’s Virtual Personal Assistant’s, and makes a case for the importance of critique in order to expose the inequitable structures of power obscured and compounded by the Eliza effect – both its name, and that which it names

The effects of expectations on performance: generalizing Galatea

The Galatea effect occurs when self-efficacy is intentionally raised yielding an increase in performance. The study focused on generalizing the Galatea effect to the historically under researched populations of Blacks in the workforce. To raise self-efficacy, the participants in the experimental condition were presented with a scenario designed to increase specific self-efficacy through verbal persuasion. This study used a diverse sample of male and female college students. The dependent variable was performance on Sudoku – a cognition puzzle. The Sudoku puzzle is a test of deductive reasoning which can be related to cognitive performance. Cognitive ability is often used in business settings. The Sudoku puzzle is a logical reasoning puzzle that can be investigated using mathematics. Participants were asked to complete a scale expected to measure specific self-efficacy (Mathematics Self-Efficacy Scale). The study’s lack of significant findings suggests that the Galatea effect is more complex than has been perceived

Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytelling

The paper proposes a framework that combines behavioral and computational experiments employing fictional prompts as a novel tool for investigating cultural artifacts and social biases in storytelling both by humans and generative AI. The study analyzes 250 stories authored by crowdworkers in June 2019 and 80 stories generated by GPT-3.5 and GPT-4 in March 2023 by merging methods from narratology and inferential statistics. Both crowdworkers and large language models responded to identical prompts about creating and falling in love with an artificial human. The proposed experimental paradigm allows a direct comparison between human and LLM-generated storytelling. Responses to the Pygmalionesque prompts confirm the pervasive presence of the Pygmalion myth in the collective imaginary of both humans and large language models. All solicited narratives present a scientific or technological pursuit. The analysis reveals that narratives from GPT-3.5 and particularly GPT-4 are more more progressive in terms of gender roles and sexuality than those written by humans. While AI narratives can occasionally provide innovative plot twists, they offer less imaginative scenarios and rhetoric than human-authored texts. The proposed framework argues that fiction can be used as a window into human and AI-based collective imaginary and social dimensions

“Worse than two fathers” : Steampunk Pygmalion and a new look at double standards and the language of things in the digital realm

In keeping with recent steampunk productions of Pygmalion, this article presents a retro-futuristic reading of how Shaw’s play engages with language. Focusing upon the pressures operating on Liza when Higgins is “worse than two fathers” to her in seeking to win his wager with Pickering, I demonstrate how her position as both object and agent delivers the play’s criticism of attitudes to language, and also exposes literary and scientific discourses used to construct ideas of standard English in the nineteenth and early twentieth century. Extending the implications of contemporary performances by drawing parallels between Liza and Ada Lovelace - also positioned by two fathers in Byron (literature) and Babbage (science) - I then use the play between the organising figures of Pygmalion and steampunk fiction to assess how Shaw’s work offers new perspectives on the production and re-production of data as language in the digital world of twenty-first century audiences

The Upward Pygmalion Effect in the Organization

This study examined the upward Pygmalion effect from the subordinate to the supervisor. One hundred and sixty-one undergraduate participants assumed the role of a supervisor and were randomly assigned to one of nine experimental conditions representing different levels of expectations and performance feedback. Participants then completed questionnaires designed to measure self-efficacy and the performance effort level of the supervisor. The result of the study failed to support the hypotheses that positive subordinate expectations would improve supervisors\u27 self-efficacy level and that negative subordinate expectations would have little impact on supervisors\u27 self-efficacy level, but succeeded in supporting the hypothesis that supervisors\u27 performance effort level is unlikely to be influenced by subordinate expectation feedback. Explanations for the result of the study were explored

Development and Evaluation of Plant Growth Models: Methodology and Implementation in the PYGMALION platform

International audienceMathematical models of plant growth are generally characterized by a large number of interacting processes, a large number of model parameters and costly experimental data acquisition. Such complexities make model parameterization a difficult process. Moreover, there is a large variety of models that coexist in the literature with generally an absence of benchmarking between the different approaches and insufficient model evaluation. In this context, this paper aims at enhancing good modelling practices in the plant growth modeling community and at increasing model design efficiency. It gives an overview of the different steps in modelling and specify them in the case of plant growth models specifically regarding their above mentioned characteristics. Different methods allowing to perform these steps are implemented in a dedicated platform PYGMALION (Plant Growth Model Analysis, Identification and Optimization). Some of these methods are original. The C++ platform proposes a framework in which stochastic or deterministic discrete dynamic models can be implemented, and several efficient methods for sensitivity analysis, uncertainty analysis, parameter estimation, model selection or data assimilation can be used for model design, evaluation or application. Finally, a new model, the LNAS model for sugar beet growth, is presented and serves to illustrate how the different methods in PYGMALION can be used for its parameterization, its evaluation and its application to yield prediction. The model is evaluated from real data and is shown to have interesting predictive capacities when coupled with data assimilation techniques

AN EXAMINATION OF SINGLE-SEX SECONDARY AGRICULTURAL EDUCATION CLASSROOMS: THE EFFECTS OF TEACHER EXPECTANCY

The effectiveness of single-sex classrooms in the United States remains unclear. To address this issue, the purpose of this quasi-experiment was to examine single-sex classrooms in secondary agricultural education classrooms in Kentucky. Data were collected through quantitative pretests and posttests from student participants (n = 168) and teacher participants (n = 8). The findings indicated that student participants in single-sex classrooms had higher academic performance, better attendance, and an increased gain in interest in the agriculture, food, and natural resources career pathway. Students participants in coeducational classrooms had less discipline referrals. Teacher participants’ expectation were related to student performance. Recommendations are made for further research and changes in teacher preparation practice

The Impact of Extreme Weather on Student Online Learning Participation

In March 2020, the COVID-19 pandemic forced over 1 billion learners to shift from face-to-face instruction to online learning. Seven months after it began, this transition became even more challenging for Filipino online learners. Eight typhoons struck the Philippines from October to November 2020. Two of these typhoons caused widespread flooding, utilities interruptions, property destruction, and loss of life. We examine how these severe weather conditions affected online learning participation of Filipino students pursuing their undergraduate and graduate studies. We used CausalImpact analysis to explore September 2020 to January 2021 data collected from the Moodle Learning Management System data of one university in the Philippines. We found that overall student online participation was significantly negatively affected by typhoons. However, the effect on participation in Assignments and Quizzes was not significant. These findings suggested that students continued to participate in activities that have a direct bearing on their final grades, rather than activities that had no impact on their course outcomes