, PLEASE USE THIS DOCUMENT AS A GUIDE ONLY
The Evolving Landscape of Knowledge: From Alexandrian Shadows to Algorithmic Light
Introduction
What is information science? At first glance, this question appears deceptively simple. Yet beneath
its surface lies a century-long struggle over disciplinary identity, fundamental principles, and the
very nature of knowledge itself. As Jesse Shera observed in 1973, information professionals have
long understood "the Können but the Wissen has escaped them" – they know how to do things, but
not why (Shera, 1973, p. 86). This observation remains startlingly relevant today, as the field
grapples with challenges that would have seemed miraculous just decades ago: artificial intelligence
systems that generate original content, algorithms that shape what billions see and know, and data
infrastructures that dwarf the wildest dreams of early documentalists.
This essay argues that Information Science has not merely adapted to technological change but has
undergone fundamental paradigm shifts in its theoretical foundations, moving from a
technical-empirical orientation focused on document management, through a cognitive-behavioural
turn centred on user needs, to the current socio-technical and data-intelligent paradigms that seek to
integrate human meaning-making with computational power. These shifts are not simple
progressions but layered accretions, where earlier concerns persist even as new frameworks emerge
(Bates, 2015). Understanding this evolution is essential not merely for historical curiosity but for
navigating the contemporary information landscape, where libraries, archives, and museums confront
the dual challenge of digital transformation and AI integration.
The following analysis proceeds chronologically through four major phases – the Documentary Age
(pre-1945), the Formation Era (1945-1970), the Cognitive Turn (1970-1990), the Digital
Convergence (1990-2010) and the AI Era (2010-present) – before offering a conceptual framework
accompanied by a visual chronology diagram mapping these transformations.
The Evolving Landscape of Knowledge: From Alexandrian Shadows to Algorithmic Light
Introduction
What is information science? At first glance, this question appears deceptively simple. Yet beneath
its surface lies a century-long struggle over disciplinary identity, fundamental principles, and the
very nature of knowledge itself. As Jesse Shera observed in 1973, information professionals have
long understood "the Können but the Wissen has escaped them" – they know how to do things, but
not why (Shera, 1973, p. 86). This observation remains startlingly relevant today, as the field
grapples with challenges that would have seemed miraculous just decades ago: artificial intelligence
systems that generate original content, algorithms that shape what billions see and know, and data
infrastructures that dwarf the wildest dreams of early documentalists.
This essay argues that Information Science has not merely adapted to technological change but has
undergone fundamental paradigm shifts in its theoretical foundations, moving from a
technical-empirical orientation focused on document management, through a cognitive-behavioural
turn centred on user needs, to the current socio-technical and data-intelligent paradigms that seek to
integrate human meaning-making with computational power. These shifts are not simple
progressions but layered accretions, where earlier concerns persist even as new frameworks emerge
(Bates, 2015). Understanding this evolution is essential not merely for historical curiosity but for
navigating the contemporary information landscape, where libraries, archives, and museums confront
the dual challenge of digital transformation and AI integration.
The following analysis proceeds chronologically through four major phases – the Documentary Age
(pre-1945), the Formation Era (1945-1970), the Cognitive Turn (1970-1990), the Digital
Convergence (1990-2010) and the AI Era (2010-present) – before offering a conceptual framework
accompanied by a visual chronology diagram mapping these transformations.
