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Record W3118085287 · doi:10.1177/1476127020981353

Painful memories as mnemonic resources: Grand Canyon Dories and the protection of place

2020· article· en· W3118085287 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStrategic Organization · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's UniversityUniversity of Alberta
Fundersnot available
KeywordsMnemonicEmbodied cognitionCanyonAestheticsModalitiesSemioticsSociologySpace (punctuation)HistoryPsychologyCognitive psychologyEpistemologySocial scienceArtLinguisticsGeographyPhilosophy

Abstract

fetched live from OpenAlex

Organizations commonly regard memories of pain and destruction as being unwanted. In this article, we consider the largely undertheorized potential that painful pasts can have for building a mnemonic community. We draw primarily on oral history interviews to explore how Martin Litton and Grand Canyon Dories use sensory, discursive, and material-discursive modalities to convert painful memories into mnemonic resources through the performance of three practices: sensitizing, retelling, and reincarnating. Their aim was to protect the Grand Canyon for future generations. We advance research on organizational uses of the past by theorizing how painful memories can be converted into mnemonic resources. Specifically, we underscore the untapped potential of organizations repackaging history-at-large to curate experiences of the past using combinations of semiotic modalities and remembering practices. We call this multimodal remembering. We also contribute to research on place by illustrating how destroyed natural wonders that no longer exist in their geological corporeal form can be transposed across time and space and become re-embodied in new phantasmatic forms.

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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
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)0.0000.000

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 head0.334
GPT teacher head0.485
Teacher spread0.151 · 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