Evidence map›Paper›PMID 40012867›Full record

ArticleFrontiers in sociology2025

Climate adaptation plans and "green jobs": challenges for implementing a responsive, multi-skilled workforce in Worcester, Massachusetts.

Varun Bhat, Sarah Strauss

Abstract read
In one paragraph

Article in Frontiers in sociology, 2025. 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

2 authors.

Varun BhatCommunity Climate Adaptation, Worcester Polytechnic Institute, Worcester, MA, United States.
Sarah StraussDepartment of Integrative and Global Studies, Worcester Polytechnic Institute, Worcester, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities across the United States are affected by climate change impacts, and several cities have adopted climate adaptation plans to respond to this growing threat. These plans outline interventions that require a multi-skilled workforce working towards "green" or sustainable goals. However, the "green jobs" linked to these goals are ill-defined and misunderstood among employers and job seekers and can cause gaps in implementing the interventions outlined in the climate adaptation plans. Therefore, it is important to analyze the current state of green jobs in US cities and understand what employers, job seekers, and others think of the green jobs market. We conduct this analysis with the help of natural language processing and qualitative coding in the City of Worcester, Massachusetts, USA using job data from Indeed and semi-structured interviews. We find that the current green job market in Worcester is siloed around green jobs requiring degrees and that non-degree green jobs are significantly less present. Moreover, most green jobs are located far away from Worcester, making them unattractive to job seekers, influencing the overall image of green jobs among job seekers. Finally, both policymakers and employers are unclear about the definition of a "green job" impacting a job seeker's search behaviors. All this points to a vague description of green jobs and green workforce, that can significantly impact Worcester's ability to achieve a climate-ready workforce and to achieve its climate adaptation goals.

Indexed as

green job characteristicsgreen jobsgreen jobs NLPgreen job typesjob analysis

Identifiers

PMID40012867
PMCPMC11861338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.