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Record W7055655118

Deep Mapping the Biome: The Biology of Place inDon Gayton's <i>The Wheatgrass Mechanism</i>and John Janovy Jr.'s <i>Dunwoody Pond</i>

2005· article· en· W7055655118 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDistrustVisionNarrativeNatural (archaeology)Deep learningDeep time
DOInot available

Abstract

fetched live from OpenAlex

In his influential review, "Deep Maps in Ecoliterature," scholar Randall Roorda argues that the deep map deserves status as an "incipient genre of environmental literature," noting its "ambitious ... self-reflexive" nature and its innovative narrative architecture. The term "deep map" itself is the invention of writer William Least Heat-Moon, whose extended essay PrairyErth (a deep map) has given definition to this form. Deep-map writing is marked by its intertextual, interdisciplinary, and multivocal nature. It is also self-consciously cartographic, presenting maps, following maps, and redrawing maps. Deep mappers "both distrust maps and rely on them," or as Heat-Moon puts it, they "test the grid." As he follows the twenty-five United States Geological Survey maps of Chase County, Kansas, Heat-Moon plumbs natural and human history, seeking the vestiges and expressions of this deep history in his walks around the county, but also seeking from others' published texts, scientific inquiry, and oral history an exhaustive accounting of place. Prompts from his own dreams and visions also inform his narrative. Heat-Moon's accomplishment in PrairyErth, reminiscent of Henry David Thoreau's Walden, has earned him much praise. Lawrence Buell proclaims PrairyErth "perhaps the most ambitious literary reconstruction of a small portion of America ever attempted in a single volume." This textual achievement has provided an emerging form of environmental writing, created an alignment among essayists experimenting with intercalated form, and inspired Heat-Moon's contemporaries to attempt their own deep maps. Yet Heat-Moon did not invent the form. Another Plains writer, Wallace Stegner, prepared the ground for the deep-map years earlier with the 1962 publication of Wolf Willow, the urtext of all deep maps. In a sweeping narrative that encompasses geology, climatology, botany, political and settlement history, fiction, memoir, and myth, Stegner chronicles the Cypress Hills, fictional Whitemud, Saskatchewan (Eastend), and the Medicine Line. If the deep map is only now "incipient," it has had a long gestation, and its origins lie in the Great Plains straddling both sides of the forty-ninth parallel. Between 1962 and 1991, nonfiction writers were experimenting with the representation of place, and the deep map gave them both a new aesthetic and a land ethic. The significant features of this genre include its multivalent, cross-sectional understanding of history; its attention to the environment and advocacy of bioregionalism; its amalgamation of genres (e.g., Stegner's subtitle A History, a Story, and a Memory of the Last Plains Frontier); and its interest in a specific place, a particular biome, or a unique landscape. The deep-map genre claims practitioners from many disciplines-journalism, poetry, science, and ranching, for instancefor a reason: the flexibility of a cross-genre, cross-sectional narrative provides a format that revels in the nuances and variables of idiosyncratic experience, training, and appreciation of landscape. This form of literary stratigraphy shapes a distinctive kind of "articulated geography." That writers as diverse as Barry Lopez, John McPhee, and Sheila Nickerson, for instance, stand alongside Stegner and HeatMoon as deep mappers, signals the growing appeal of this genre. Buell has argued that environmental literature in general "increases our feel for both places previously unknown and places known but never so deeply felt." The deep map makes the "deeply felt" its forte.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.010
Scholarly communication0.0060.008
Open science0.0010.004
Research integrity0.0010.003
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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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Same venueLincoln (University of Nebraska)Same topicMagnetic confinement fusion researchFrench-language works237,207