Evidence map›Paper›PMID 39165863›Full record

ArticleFrontiers in sociology2024

There and back again: dynamics of temporary labor migration, insights from rural India.

Bernard Attah-Otu, Angan Sengupta, Tony McAleavy

Abstract read
In one paragraph

Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Bernard Attah-OtuAmrita School for Sustainable Futures, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India.
Angan SenguptaAmrita School of Business, Amrita Vishwa Vidyapeetham University, Bengaluru, Karnataka, India.
Tony McAleavyFire and Emergency Management Program, Division of Engineering Technology, Oklahoma State University, Stillwater, OK, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporary labor migration is a household phenomenon among rural communities in India. This study seeks to understand the subjective experiences influencing the temporariness of labor migration among internal migrants in India by examining various factors such as migration conditions, motivation, migration arrangements, coping and adaptation strategies, and determinants of stay. To achieve this objective, the current qualitative study utilized 14 in-depth interviews and 2 focus group discussions to investigate the temporary nature of labor migration among internal migrants in India. Our findings reveal that migration decisions are rational choices made collectively at the household level, considering socio-economic outcomes. We also find that social networks and contractors facilitate migration arrangements and job connections, and migrants employ various strategies to reduce costs and cope with expenses in urban areas. However, migration destinations often fail to meet migrants' expectations, exposing them to low-wage employment and precarious working and living conditions, which are detrimental to their health. Limited housing and sanitation facilities further contribute to the challenges faced by migrants. Work conditions, including poor wages and high job demands, also affect their well-being. These findings highlight the need for improved support systems that address accommodation challenges, work conditions, and the overall welfare of labor migrants.

Indexed as

destination conditionsIndiainternal migrationmigration arrangementprecaritytemporary labor migrationtribal household

Identifiers

PMID39165863
PMCPMC11333858

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.