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Record W1881738101

“Goin’ to Nature to Reach Double Consciousness: A Du Boisian Methodological Journey to Graves of the Formerly Enslaved”

2009· article· en· W1881738101 on OpenAlexvenueno aff
Angela Leonard

Bibliographic record

Venue˜The œjournal of ecocriticism · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsDescendantConsciousnessEmbodied cognitionIdentity (music)FeelingRelation (database)Natural (archaeology)AestheticsEthnic groupSociologyDouble consciousnessWhite (mutation)AnthropologyHistoryEpistemologyPsychologyGender studiesSocial psychologyPhilosophyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Too few W. E. B. Du Boisian scholars happen upon the fact that “double consciousness” is self-awareness or an assessment of self-identity that flows from two very different sources of memory—diachronic or accretive, and syndetic or invoked. I have borrowed Du Bois’s notion of “double consciousness” as an angle of perception to begin to theorize about what I believe occurs―knowingly or unknowingly—when some members of the African and white descendant communities visit burials of formerly enslaved people of African descent. This paper explores the significance of gravesites of formerly enslaved people of African descent as powerful sacred spaces in nature that embody and percolate ancestral memories. In so doing, it also considers one’s feelings of attachment to local landscapes of memory, one’s preoccupation with cultural identity at natural sites of entombment, and one’s relation to the visitable past. These thoughts, while they may strike some as out of place in traditional academic circles, are an acknowledgment of what we can learn from the language of rituals as structures and practices performed in nature. As such, these rituals identify cultural ethnicities and individual identities, as well as provoke reflection and understanding of social memories and embodied histories.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.083
GPT teacher head0.394
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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