5,607 research outputs found

    Establishing a Central Archive for Transit Passenger Data

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    This report describes the rationale, background, establishing organization, and future steps of CATPAD, the Central Archive for Transit Passenger Data. The Central Archive for Transit Passenger Data is a repository that collects, indexes, archives, and makes available online the transit survey instruments, data, and reports collected across the country. This resource is unique in its focus on the disaggregated information of individual transit users – information that is critical for a range of transportation planning analyses. In addition, where available, CATPAD contains aggregated information, such as station boardings and service and fare schedules, to provide key context for the disaggregate person-level data. The Central Archive for Transit Passenger Data seeks to overcome the current impediments to accessing transit survey data by providing a single, searchable, internet archive to store and disseminate this valuable information. The Central Archive for Transit Passenger Data explicitly aims to expand the public return on the considerable investment made to gather transit passenger data. The resource is designed from the start to serve the needs of a range of use cases from transportation planners and policy makers to researchers and community advocates. The goal of CATPAD is to make useful data available to inform transit decision making at all levels and to foster ongoing refinement of the nation’s transit network

    Revisiting the archival finding aid

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    Archivists have been creating finding aids for generations, and in the last three decades they have done this work via a succession of standardized formats. However, like many other disciplines, they have carried out such work in violation of systems analysis. Although purporting to have the users of finding aids systems first and foremost in their mind, archivists have carried out their descriptive work apart from and with little knowledge of how researchers find and use archival sources. In this article, questions are raised about the utility of archival finding aids and how they will stand the test of time. Indeed, archivists, purportedly concerned with considering how records function and will be used over time, ought to apply the same kind of analysis and thinking to their finding aids. In this article, we explore three ways archival finding aids might be examined by outsiders, namely, those concerned with museum exhibitions, design experts, and accountability advocates. Doing this should assist archivists to reevaluate their next wave of experimentation with descriptive standards and the construction of finding aids. Archivists should expand the notion of what we are representing in archival representation. © 2007 by The Haworth Press

    Records Management Practices: A solution in dealing with big data

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    Big data in the Internet of Things (IoT) led to various issues and problems. Therefore, this study aims to provide a guideline through Records Management practices.This study is qualitative with the records professional who deals with big data and records management from various fields. Organizations involved in emerging big data will be chosen as respondents. The study intended to develop guidelines from the current Records Management standard, best practices and guidelines in managing big data. This will offer new research and view on the ability of Records Management as a solution in managing big data. Keywords: Big Data, Records Management, Internet of Things eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC  BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under the responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia

    Evaluation of Automatic Video Captioning Using Direct Assessment

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    We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly difficult because for any given video clip there is no definitive ground truth or correct answer against which to measure. Automatic metrics for comparing automatic video captions against a manual caption such as BLEU and METEOR, drawn from techniques used in evaluating machine translation, were used in the TRECVid video captioning task in 2016 but these are shown to have weaknesses. The work presented here brings human assessment into the evaluation by crowdsourcing how well a caption describes a video. We automatically degrade the quality of some sample captions which are assessed manually and from this we are able to rate the quality of the human assessors, a factor we take into account in the evaluation. Using data from the TRECVid video-to-text task in 2016, we show how our direct assessment method is replicable and robust and should scale to where there many caption-generation techniques to be evaluated.Comment: 26 pages, 8 figure

    Psychopower and Ordinary Madness: Reticulated Dividuals in Cognitive Capitalism

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    Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized)

    Electronic Resources and Academic Libraries, 1980-2000: A Historical Perspective

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    published or submitted for publicatio

    Third Party Tracking in the Mobile Ecosystem

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    Third party tracking allows companies to identify users and track their behaviour across multiple digital services. This paper presents an empirical study of the prevalence of third-party trackers on 959,000 apps from the US and UK Google Play stores. We find that most apps contain third party tracking, and the distribution of trackers is long-tailed with several highly dominant trackers accounting for a large portion of the coverage. The extent of tracking also differs between categories of apps; in particular, news apps and apps targeted at children appear to be amongst the worst in terms of the number of third party trackers associated with them. Third party tracking is also revealed to be a highly trans-national phenomenon, with many trackers operating in jurisdictions outside the EU. Based on these findings, we draw out some significant legal compliance challenges facing the tracking industry.Comment: Corrected missing company info (Linkedin owned by Microsoft). Figures for Microsoft and Linkedin re-calculated and added to Table
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