Reconsidering Public Relations’ Infatuation with Dialogue: Why Engagement and Reconciliation Can Be More Ethical Than Symmetry and Reciprocity

Advocates of dialogic communication have promoted two-way symmetrical communication as the most effective and ethical model for public relations. This article uses John Durham Peters’s critique of dialogic communication to reconsider this infatuation with dialogue. In this article, we argue that dialogue’s potential for selectivity and tyranny poses moral problems for public relations. Dialogue’s emphasis on reciprocal communication also saddles public relations with ethically questionable quid pro quo relationships. We contend that dissemination can be more just than dialogue because it demands more integrity of the source and recognizes the freedom and individuality of the source. The type of communication, such as dialogue or dissemination, is less important than the mutual discovery of truth. Reconciliation, a new model of public relations, is proposed as an alternative to pure dialogue. Reconciliation recognizes and values individuality and differences, and integrity is no longer sacrificed at the altar of agreement

Methods and standards development for three-dimensional mapping of the Antioch Quadrangle, Lake County, Illinois a pilot study

The Pilot Study for the Central Great Lakes Geologic Mapping Coalition (CGLGMC) focused on the Antioch Quadrangle, Lake County, Illinois developing a series of maps and digital products, several protocols for database development and maintenance and field procedures to acquire and integrate drilling and geophysical data from a quadangle area featuring complex glacial geology over a 25,000 year period.U.S. Geological Survey, Central Great Lakes Geologic Mapping CoalitionOpe

Measuring Workload Differences Between Short-term Memory and Long-term Memory Scenarios in a Simulated Flight Environment

Four highly experienced Air Force pilots each flew four simulated flight scenarios. Two scenarios required a great deal of aircraft maneuvering. The other two scenarios involved less maneuvering, but required remembering a number of items. All scenarios were designed to be equaly challenging. Pilot's Subjective Ratings for Activity-level, Complexity, Difficulty, Stress, and Workload were higher for the manuevering scenarios than the memory scenarios. At a moderate workload level, keeping the pilots active resulted in better aircraft control. When required to monitor and remember items, aircraft control tended to decrease. Pilots tended to weigh information about the spatial positioning and performance of their aircraft more heavily than other items

Solving Visual Madlibs with Multiple Cues

This paper focuses on answering fill-in-the-blank style multiple choice questions from the Visual Madlibs dataset. Previous approaches to Visual Question Answering (VQA) have mainly used generic image features from networks trained on the ImageNet dataset, despite the wide scope of questions. In contrast, our approach employs features derived from networks trained for specialized tasks of scene classification, person activity prediction, and person and object attribute prediction. We also present a method for selecting sub-regions of an image that are relevant for evaluating the appropriateness of a putative answer. Visual features are computed both from the whole image and from local regions, while sentences are mapped to a common space using a simple normalized canonical correlation analysis (CCA) model. Our results show a significant improvement over the previous state of the art, and indicate that answering different question types benefits from examining a variety of image cues and carefully choosing informative image sub-regions