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Record W2802027208 · doi:10.4000/rga.3919

Shelters in the Night. The Role of Architecture in the Process of Understanding High-Altitude Areas

2018· article· en· W2802027208 on OpenAlexaff
Roberto Dini, Stefano Girodo

Bibliographic record

VenueRevue de géographie alpine · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsMountaineeringAppropriationGeographyArchitecturePoliticsCONQUESTHistoryAltitude (triangle)ArchaeologyPhysical geographyEthnologyAncient historyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The design and construction of huts in the Western Alps, which developed from the late eighteenth century and throughout the nineteenth, constitutes a key step in the process of discovery and cultural appropriation of the mountains. The installation of stable shelters offering overnight accommodation at high altitudes, superseding the precarious bivouac-style campsites, makes it possible to carry out wide-ranging scientific, alpine and geographic explorations there for the first time. Such shelters act as catalysts in the transformation of the alpine region from an ancestral space to an outpost of scientific knowledge, the “playground” of mountaineers, a place of symbolic and political conquest and, successively, a site of loisir for tourists.In just a few decades, mountain guides and mountaineering associations played a decisive role in this process, initiating the progressive physical alteration of high-altitude areas and paving the way for a widespread building and infrastructural colonisation that has been constantly evolving to this day.Structurally, mountain huts and bivouacs reflect the ways in which the space, landscape and time have been conceptualised and used over the ages, forming an interesting area of study: from the early structures, which were self-contained and impervious to the surrounding landscape, serving merely to provide protection from the outside, up to today’s landmark structures.

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)0.001
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.264
Teacher spread0.240 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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