Evidence map›Paper›PMID 42352712›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Micro-Discipline: A Process Model of Behavioural Regulation and Character Formation.

Åke Elden

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Åke EldenDepartment of Research, NLA University College, 0176 Oslo, Norway.ORCID 0009-0003-0965-7666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on personality and behaviour has established that individuals exhibit relatively stable patterns of conduct across time, commonly described in terms of trait dimensions such as conscientiousness. At the same time, self-regulation and habit research have identified mechanisms involved in behavioural initiation, persistence, and automatization. Despite these advances, existing frameworks do not adequately specify the intermediate processes through which behavioural continuity is maintained across everyday contexts. This article introduces the concept of micro-discipline to address this gap. Micro-discipline refers to recurrent low-level acts of behavioural regulation that preserve continuity between intention and action under ordinary conditions of friction, including returning attention to a task, sustaining effort despite resistance, modulating minor impulses, and completing small obligations that might otherwise be deferred. The central claim is that these repeated regulatory acts constitute a distinct and temporally cumulative process through which behavioural patterns are stabilised and, over time, modified. Drawing on personality theory, self-regulation research, and related process-based approaches, the article develops a conceptual model explaining how such micro-regulatory processes bias the recurrence, persistence, and interruption of behavioural states, thereby contributing to trait stabilisation and trait change. By clarifying this intermediate process layer, the framework provides a more precise account of how local regulatory acts scale into durable patterns of behaviour. It further offers implications for understanding personality development, the maintenance of goal-directed behaviour, and the conditions under which intentional behavioural change succeeds or fails.

Indexed as

agencycharacter formationmicro-disciplineself-regulation

Identifiers

PMID42352712
PMCPMC13295370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.