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Record W4390904950 · doi:10.20355/jcie29589

How Sweet the Ground: The Metaphysical Vision of Michael Marker

2023· article· en· W4390904950 on OpenAlexaffvenue
Samuel D. Rocha

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMetaphysicsHonourPhilosophyLiteratureAnalogyAllusionPoliticsEpistemologyHistoryArtLaw

Abstract

fetched live from OpenAlex

Through this essay, Rocha seeks to describe and honour Michael Marker’s signature notion of the “metaphysical demand” within his more well-known historical and anthropological work on the agentic notion of place. The essay begins by noting the difficulty of this essay due to the “unwritability” of Marker, in allusion to Mellvile’s character, Bartleby, and Garcia Marquez’ssense of Latin America’s solitude. Then, after hermeneutic clarifications that resist reading this essay as a eulogy, the essay proceeds biographically reaching the intimate friendship between Rocha and Marker. These biographical confessions lead to Marker’s ideas, rooted in (and progressing from) Vine Deloria Jr’s critical understanding of the Indigenous philosophy of space, which proceed into a record of correspondence where Marker shares his idea of the metaphysical demand. The essay closes in a series of impressionistic anecdotes that contain key elements in Marker’s approach to his life and thought. A key element is Marker’s practice as a folk musician and his collaborative work with the author in the improvised composition of a track on claw-hammer and bluegrass banjo. From these memorial movements, Marker’s notion of the metaphysical demand of place, a voice that speaks through a calcified andlayered modern reality, is left unfinished, as he left it, to be heard and continued in work to follow.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.032
Scholarly communication0.0110.011
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.362
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes2
Has abstractyes

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Same venueJournal of Contemporary Issues in EducationSame topicLatin American and Latino StudiesFrench-language works237,207