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Record W7111967292

Natura ostile nella Rihlat al-Yusi di Mahammad al-ʿAyyashi b. al-Hasan al-Yusi (m. 1719)

2025· book-chapter· it· W7111967292 on OpenAlexaboutno aff

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2025
Typebook-chapter
Languageit
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsTopos theoryValue (mathematics)Focus (optics)Assemblage (archaeology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The present study focuses on the analysis of the travelogue entitled Riḥlat al-Yūsī, an Ottoman-era document belonging to the genre of the riḥla ḥijāziyya. The work, long attributed to the famous Maghrebi scholar al-Ḥasan b. Masʿūd al-Yūsī (d. 1691), was compiled by the latter’s younger son, Maḥammad al-ʿAyāshī b. al-Ḥasan al-Yūsī (d. 1719), an eyewitness of the long journey undertaken with his father in March 1690 that would lead them from Fez to Mecca, then along the return road to Timezrit (July 1691). Although the text does not present long descriptive passages of a landscape type, the narrator constantly evokes nature within his riḥla. Nature, however, often takes on a dysphoric value (violent winds, intense heat, devastating rains, wādī floods, impervious terrain, etc.), and is related to the harshness and fatigue of the journey. Starting from these elements, this study will focus on the role of the nature in this travelogue, dwelling in particular on the topos of “hostile nature” and its relationship to man.

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)0.016
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.332
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.006
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0110.011
Science and technology studies0.0130.042
Scholarly communication0.1610.075
Open science0.0220.006
Research integrity0.0020.010
Insufficient payload (model declined to judge)0.0210.001

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 head0.032
GPT teacher head0.270
Teacher spread0.238 · 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
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
Published2025
Admission routes1
Has abstractyes

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