From Knowability to Narratability The Structural-Temporal Conditions of Appearing in Algorithmic Environments

This paper develops a further step within the Structural-Temporal Theory of Knowability (STTK), shifting the analysis from the question of how something becomes knowable to the question of how something becomes narratable. The distinction is significant because knowability and narratability do not begin at the same threshold. A possibility may become accessible without becoming salient; it may become salient without acquiring a sufficiently articulated temporal configuration; and it may acquire a recognizable configuration without yet becoming integrable into an available narrative form. The paper proposes a structural-temporal account of this intermediate domain. Its central notion is the threshold of appearing: not a merely pre-semantic moment, but a relational transition through which a difference becomes sufficiently accessible, salient, persistent, temporally articulated, and connectable to other differences to enter the field of the narrable. Narratability is therefore considered neither an intrinsic property of an event nor a purely discursive outcome, but a relational condition emerging among a configurational environment, an experiencing subject, a history of exposure, and available narrative forms. The argument extends the STTK concept of an accessibility regime toward what may be termed a narrative accessibility regime. Such a regime modifies the conditions through which some differences are more readily encountered, rendered salient, maintained within the attentional field, connected to other configurations, and transformed into narratively intelligible elements. Contemporary algorithmic environments are particularly relevant because recommendation systems, ranking mechanisms, search interfaces, generative models, and personalized response systems increasingly participate in the organization of these conditions. The paper does not argue that artificial intelligence is a new author, nor that algorithms determine what human beings narrate. The claim is more preliminary: algorithmic systems can participate in the environmental modulation of the conditions through which something becomes available to narration. They can therefore contribute to producing differentials of narratability without directly producing the narratives themselves. The resulting problem lies prior to authorship. It concerns not primarily who tells the story, but how something enters the field in which a story can become possible. .