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Record W7103514129

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

2005· article· W7103514129 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2005
Typearticle
Language
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsDistrustVisionNarrativeDeep learningNatural (archaeology)Deep 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.\nYet 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.212
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2005
Admission routes1
Has abstractyes

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