Rethinking Human-Smartphone Interaction with Deleuze, Guattari, and Polanyi
Bibliographic record
Abstract
An inbuilt theoretical deficiency of any cybernetic or phenomenological accounts of human-smartphone interaction is that their inherited frameworks suffer from lopsided explanatory proficiencies. Neither can explicate one ‘side’ of the interaction without inappropriately foisting those logics onto its dyadic counterpart. In this paper, both Michael Polanyi’s bio-philosophy and a Deleuzo-Guattarian philosophy of brain seek to remedy this conceptual deficit by positing a conceptual toolkit that incorporates pertinent cybernetic and phenomenological revelations while abjuring their dogmatizing propensities. This conjoined reading of Polanyi with Deleuze and Guattari asserts that temporary, bounded structures of interference between mind and machine – rooted in asymmetry, inertia, and labile planes of cognition – are the grounding dimension of human-smartphone interaction, which is itself taken as emblematic of our wider relations to smart technologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".