MétaCan
Menu
Back to cohort

The Mountaineering and Wilderness Rhetorics of Washington Woman Suffragists

2018· article· en· W2870648053 on OpenAlexaboutno aff
Tiffany Lewis

Bibliographic record

VenueRhetoric and Public Affairs · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsMountaineeringWildernessFrontierSuffragePoliticsSociologyGender studiesPolitical scienceHistoryLawArchaeology

Abstract

fetched live from OpenAlex

Abstract In 1909, a group of mountaineers climbed Mount Rainier during the Alaska–Yukon–Pacific Exposition and placed a “Votes for Women” pennant at the mountain summit. I argue that their ascent of Mount Rainier exploited meanings of mountaineering and the wilderness for woman suffrage: mountaineering as a symbol of imperial power, the mountain wilderness as the new mythic frontier, and walking in the western wilderness as an enactment of freedom. The imperialist meaning of mountaineering constituted woman suffragists as powerful, victorious, and capable of winning their upcoming suffrage campaign. Climbing the new frontier demonstrated that the women were physically strong enough to participate in turn-of-the-century politics and invoked the meritocratic logic of the frontier myth that suggested these women had earned their right to vote through their labor on the mountain. Walking in the western wilderness performed the climbers’ freedom to walk, think, and vote for themselves and to resist society’s gendered restrictions. Their climb invoked the ideologies of imperialism, the frontier myth, and freedom to appeal to the citizens of the Pacific Northwest for voting rights and to gain more publicity for their cause, yet it simultaneously had a rhetorical impact on the climbers themselves. By appropriating the rhetorics of mountaineering and the wilderness, they motivated and increased the morale of suffragists in the midst of a struggling movement and positioned their male companions as suffrage advocates.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRhetoric and Public AffairsSame topicAmerican Environmental and Regional HistoryFrench-language works237,207