1,720,959 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The MAMI Theory: Meta–Architecture of Mind and Invisibility
No full textThe Meta–Architecture of Mind and Invisibility (MAMI Theory) offers a structural account of how invisible cognitive, social, and epistemic events are produced, erased, or retained across education, clinical practice, and AI systems. Rather than treating “invisibility” as an individual trait or diagnostic ambiguity, MAMI conceptualizes it as an architectural phenomenon: a patterned interaction between cognitive timing, institutional schemas, and documentation logics. The theory introduces three core constructs—Structural Exposure Theory (SET), Disability Disjunction Theory (DDT), and the Ethics of the Unspoken—to model how certain forms of knowledge fail to enter institutional recognition pipelines. Empirically informed simulations (100 IEP cases, 50 clinical interactions, and 50 AI log patterns) demonstrate three cross–domain invisibility pathways: (1) temporal collapse (processing gaps and timing mismatches), (2) categorical collapse (classification constraints and schema rigidity), and (3) ethical collapse (failures to register unspoken or non–normative signals). The Invisible Retention Rate (IRR) is proposed as a quantitative metric for evaluating how systems either absorb or erase subtle epistemic cues. An Epistemic Collapse Matrix (ECM) models disjunction types and predicts institutional response patterns. The theory argues that current institutional architectures—educational, clinical, algorithmic—systematically under–recognize forms of cognition and communication that fall outside normative timing, visibility, or documentation pathways. MAMI offers a unified framework for detecting, modeling, and ethically responding to structural invisibility, extending implications for disability studies, AI ethics, cognitive science, and the design of future epistemic infrastructures
The Epistemic Collapse Matrix (ECM): A Diagnostic Framework for Structural Invisibility
No full textThe Epistemic Collapse Matrix (ECM) is a diagnostic framework for identifying structural invisibility in epistemic and institutional systems by analyzing systemic reactions rather than representational content. It is part of the MAMI Theory but may be cited independently
Architectural Ethics: Responsibility at the Level of Epistemic Design
Get PDFArchitectural Ethics is a meta-ethical framework that locates responsibility at the level of epistemic and institutional design rather than individual intention. It is part of the MAMI Theory but may be cited independently
Invisible Retention Rate (IRR): Measuring the Preservation of Non-Legible Information
Get PDFThe Invisible Retention Rate (IRR) is a formal metric for measuring the preservation of non-legible or invisible information within epistemic systems. It is part of the MAMI Theory but may be cited independently
Architectural Ethics: Responsibility at the Level of Epistemic Design
No full textArchitectural Ethics is a meta-ethical framework that locates responsibility at the level of epistemic and institutional design rather than individual intention. It is part of the MAMI Theory but may be cited independently
The MAMI Theory: Meta–Architecture of Mind and Invisibility
Get PDFThe Meta–Architecture of Mind and Invisibility (MAMI Theory) offers a structural account of how invisible cognitive, social, and epistemic events are produced, erased, or retained across education, clinical practice, and AI systems. Rather than treating “invisibility” as an individual trait or diagnostic ambiguity, MAMI conceptualizes it as an architectural phenomenon: a patterned interaction between cognitive timing, institutional schemas, and documentation logics. The theory introduces three core constructs—Structural Exposure Theory (SET), Disability Disjunction Theory (DDT), and the Ethics of the Unspoken—to model how certain forms of knowledge fail to enter institutional recognition pipelines. Empirically informed simulations (100 IEP cases, 50 clinical interactions, and 50 AI log patterns) demonstrate three cross–domain invisibility pathways: (1) temporal collapse (processing gaps and timing mismatches), (2) categorical collapse (classification constraints and schema rigidity), and (3) ethical collapse (failures to register unspoken or non–normative signals). The Invisible Retention Rate (IRR) is proposed as a quantitative metric for evaluating how systems either absorb or erase subtle epistemic cues. An Epistemic Collapse Matrix (ECM) models disjunction types and predicts institutional response patterns. The theory argues that current institutional architectures—educational, clinical, algorithmic—systematically under–recognize forms of cognition and communication that fall outside normative timing, visibility, or documentation pathways. MAMI offers a unified framework for detecting, modeling, and ethically responding to structural invisibility, extending implications for disability studies, AI ethics, cognitive science, and the design of future epistemic infrastructures
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