Evidence map›Paper›PMID 36816418›Full record

ArticleFrontiers in psychiatry2023

Fractals for an ethnography of time and addiction: Recursive and self-similar temporalities in heroin and poly-substance use.

Laura Roe, Sonja Dobroski, Gabriela Manley, Holly Warner, Heidi Dritschel, Alexander Mario Baldacchino

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Laura RoeDepartment of Social Anthropology, School of Philosophical, Anthropological and Film Studies, Faculty of Arts, University of St Andrews, St Andrews, United Kingdom.
Sonja DobroskiDepartment of Social Anthropology, School of Social Sciences, Faculty of Humanities, The University of Manchester, Manchester, United Kingdom.
Gabriela ManleyDepartment of Anthropology, Faculty of Social Sciences and Health, Durham University, Durham, United Kingdom.
Holly WarnerEdinburgh Futures Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Heidi DritschelSchool of Psychology and Neuroscience, University of St Andrews, St Andrews, United Kingdom.
Alexander Mario BaldacchinoSchool of Medicine, University of St Andrews, St Andrews, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drawing on both mathematical and anthropological understandings of fractality, this paper explores alternative perspectives of time as it relates to heroin addiction and poly-substance use in Scotland. The paper ethnographically illustrates temporalities which confound typical conceptualizations of linearity, and which can be better understood as fractal. Senses of linear time are disrupted for people who use heroin through intensive poly-substance use, an increasing trend in Scotland, as both time and memory become fragmented beyond coherence or re-assemblage. Distortedness and complexity being common descriptors applied to mathematical fractals, time shattered into uncountable and un-interpretable fragments similarly connotes fracture, dissonance, and distortion. A meaningful engagement with fractal theory contains the potential to open up new vocabulary, imagery, and theoretical avenues with which to grasp complex and non-linear time experience. The aims of the paper are, therefore, twofold; to both provide a nuanced ethnographic exploration of substance use time, and to develop a reflexive analytical framework for temporal experience through fractals.

Indexed as

addictionfractalfractal analysesmemorypoly-substance usesubstance usetemporalitytime

Identifiers

PMID36816418
PMCPMC9932797

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.