Recovery and reorientation after interrupted work

This working paper examines recovery after cognitive work and the problem of choosing the next valid action after an interruption. It brings together an analysis of saturable extracellular glutamate uptake, a secondary analysis of the human workday spectroscopy dataset of Wiehler and colleagues (doi:10.5281/zenodo.6795446), and controlled tests of two frozen Qwen2.5 instruction models. At fixed residual release, applying the classical integrated Michaelis–Menten law predicts a half-recovery time that increases with the starting excess. The human tissue glutamate-to-creatine data show a descriptive difference in workday change between demand groups. They do not measure extracellular glutamate during a break. In 36 synthetic task families, preserving current dependency reports sometimes improved paired action selection, but a reader that simply followed the last visible report outperformed both learned readers on the linked inputs. On full histories the 7B checkpoint often distinguished the two substantive alternatives in its relative scores while still choosing to ask for clarification. Version 1.1 adds kinetic prior art, a baseline-adjusted spectroscopy sensitivity analysis, and a post hoc diagnostic of the archived model scores. The deposit includes the paper and materials for reproducing its calculations, figures, and model analyses. The paper describes the author’s contribution and the use of OpenAI Codex.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24122578
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
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article

Recovery and reorientation after interrupted work

Mostafa Nasr
Zenodo (CERN European Organization for Nuclear Research)
Personal Information Management and User Behavior
article

Recovery and reorientation after interrupted work

Mostafa Nasr
article en

Abstract

This working paper examines recovery after cognitive work and the problem of choosing the next valid action after an interruption. It brings together an analysis of saturable extracellular glutamate uptake, a secondary analysis of the human workday spectroscopy dataset of Wiehler and colleagues (doi:10.5281/zenodo.6795446), and controlled tests of two frozen Qwen2.5 instruction models. At fixed residual release, applying the classical integrated Michaelis–Menten law predicts a half-recovery time that increases with the starting excess. The human tissue glutamate-to-creatine data show a descriptive difference in workday change between demand groups. They do not measure extracellular glutamate during a break. In 36 synthetic task families, preserving current dependency reports sometimes improved paired action selection, but a reader that simply followed the last visible report outperformed both learned readers on the linked inputs. On full histories the 7B checkpoint often distinguished the two substantive alternatives in its relative scores while still choosing to ask for clarification. Version 1.1 adds kinetic prior art, a baseline-adjusted spectroscopy sensitivity analysis, and a post hoc diagnostic of the archived model scores. The deposit includes the paper and materials for reproducing its calculations, figures, and model analyses. The paper describes the author’s contribution and the use of OpenAI Codex.

Zenodo (CERN European Organization for Nuclear Research)
Personal Information Management and User Behavior
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