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Record W4388381542 · doi:10.1002/ajcp.12720

Contributions, missed opportunities, and future directions: A critical reflection on global climate change and environmental sustainability in <i>AJCP</i> over five decades

2023· article· en· W4388381542 on OpenAlexaff
Livia Dittmer, Benjamin Kai Reimer-Watts, Jennifer Dobai, Manuel Riemer

Bibliographic record

VenueAmerican Journal of Community Psychology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSustainabilityClimate changePlanetary boundariesEnvironmental ethicsContext (archaeology)Global warmingCommunity psychologyEnvironmental changeEnvironmental planningEnvironmental degradationEnvironmental resource managementSociologyPolitical scienceGeographyPsychologyEcologySocial psychologyEnvironmental science

Abstract

fetched live from OpenAlex

In this contribution to the 50th Anniversary Special Issue, the authors consider how global climate change and environmental sustainability have been addressed in the American Journal of Community Psychology (AJCP) over the last five decades. As we are increasingly exceeding critical planetary boundaries (global climate change, biodiversity loss, land degradation, etc.) with disastrous impacts on human well-being-especially for peoples already marginalized-it is timely to consider the treatment of environmental issues in the history of the AJCP and in community psychology more broadly. This review of relevant articles is clustered into three topics derived from our critical understanding of the articles themselves: (a) public participation and power; (b) community-level responses to environmental change, including its disproportionate impacts on marginalized groups; and (c) frameworks and worldviews that integrate the natural world as necessary context for research and action. The commentary on the featured articles is framed in terms of their key contributions, missed opportunities up to this point, and future directions for the field. While looking back at the past 50 years, the authors also have an eye to the years ahead and what work can be done to mitigate the harms of climate change, adapt to the emerging new environmental reality, and promote just and inclusive sustainabilities worldwide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.499
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

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