Evidence map›Paper›PMID 33521245›Full record

ArticleFood ethics2021

Towards Post-Pandemic Sustainable and Ethical Food Systems.

Matthias Kaiser, Stephen Goldson, Tatjana Buklijas, Peter Gluckman, Kristiann Allen, Anne Bardsley, Mimi E Lam

Abstract read
In one paragraph

Article in Food ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Matthias KaiserCentre for the Study of the Sciences and Humanities, University of Bergen, Bergen, Norway.ORCID 0000-0002-3647-1563
Stephen GoldsonKoi Tū Centre for Informed Futures, University of Auckland, Auckland, New Zealand.
Tatjana BuklijasKoi Tū Centre for Informed Futures, University of Auckland, Auckland, New Zealand.
Peter GluckmanKoi Tū Centre for Informed Futures, University of Auckland, Auckland, New Zealand.
Kristiann AllenKoi Tū Centre for Informed Futures, University of Auckland, Auckland, New Zealand.
Anne BardsleyKoi Tū Centre for Informed Futures, University of Auckland, Auckland, New Zealand.
Mimi E LamCentre for the Study of the Sciences and Humanities, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current global COVID-19 pandemic has led to a deep and multidimensional crisis across all sectors of society. As countries contemplate their mobility and social-distancing policy restrictions, we have a unique opportunity to re-imagine the deliberative frameworks and value priorities in our food systems. Pre-pandemic food systems at global, national, regional and local scales already needed revision to chart a common vision for sustainable and ethical food futures. Re-orientation is also needed by the relevant sciences, traditionally siloed in their disciplines and without adequate attention paid to how the food system problem is variously framed by diverse stakeholders according to their values. From the transdisciplinary perspective of food ethics, we argue that a post-pandemic scheme focused on bottom-up, regional, cross-sectoral and non-partisan deliberation may provide the re-orientation and benchmarks needed for not only more sustainable, but also more ethical food futures.

Indexed as

Farm-to-forkFood ethicsFood systemsSustainable foodTransdisciplinary research

Identifiers

PMID33521245
PMCPMC7826152

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.