MétaCan
Menu
Back to cohort
Record W4392908150 · doi:10.1089/eco.2023.0032

Earth Gratitude at the Canadian Institute of Mining Convention: An Ecofeminist and Ecopsychological Analysis

2024· article· en· W4392908150 on OpenAlexaffabout
Robin Elizabeth Westland

Bibliographic record

VenueEcopsychology · 2024
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsGratitudeConventionPsychologyEngineeringVisual artsLawPolitical scienceArtSocial psychology

Abstract

fetched live from OpenAlex

At the 2019 Canadian Institute of Mining, Metallurgy and Petroleum (CIM) sales expo, a blip in the capitalist discourse was introduced: an Earth Gratitude Booth (EGB). The booth was created to provide the Earth a gentle space of representation as more-than-object in a quintessentially Earth-objectifying environment, as well as to offer people at the convention an opportunity to consider and reflect on Earth–human interconnection. At the convention, participant observation methods were employed as convention-goers walked past the booth, took part in an Earth gratitude community art creation, and/or listened to a stoney soundscape available at two listening posts. Challenges such as maintaining physical and emotional boundaries were encountered. The experience of the booth highlighted both ecofeminist and ecopsychological perspectives, and those systems have been employed for the analysis. Despite several incidents of poignant disrespect, the outcome of the booth was positive: 64 CIM Convention-goers laid gratitude stones and many more engaged positively with the booth. This gentle placement of an EGB at a mining convention may well have served as a portal to reflection on the interconnected self.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.036
GPT teacher head0.386
Teacher spread0.350 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueEcopsychologySame topicOutdoor and Experiential EducationFrench-language works237,207