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Record W7126331822

Sens sylvestres : désapprendre, ressentir et incorporer la forêt Tarkine (Tasmanie, Australie)

2024· dissertation· fr· W7126331822 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Access to Libraries · 2024
Typedissertation
Languagefr
FieldSocial Sciences
TopicNew Caledonia Indigenous Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChoseOrder (exchange)IntuitionBlankTemporalities
DOInot available

Abstract

fetched live from OpenAlex

Questioning animals, forests and more broadly nature as we question humans in anthropology: here was the intuition that I decided to follow, which led me from the confines of the Yukon (Canada) to Tasmania (Australia). What happens when you immerse yourself, for weeks or months, in the heart of a rainforest, nestled in the northwest of Tasmania? First of all, we feel lots of things. Threads, which we gradually learn. Textures that we can tame. And smells, which become familiar over time. Time. Let's talk about time: does it exist in the present of the forest? To learn the forest, I had to start by unlearning it; or rather unlearn the numerous constructions with which I tried, clumsily, to understand it. But we cannot unlearn to become a blank slate. So I chose to feel. Feel to letting these sounds, smells and textures invade my body. To let my body learn and know, in turn. To let contact with this forest not only affect, but transform my whole being to the world. And to formulate these sensations, these transformations, these learnings, inevitably transforming them in turn, in order to be shared and discussed. Each step of the process is described, justified and questioned. There are so many questions. And to answer it, comes time to welcome. Welcome the experience of non-linear temporality. Folded temporalities that unfold to those who are interested closely enough, to those who listen beyond words. Welcoming the sensations of these continuities where bodies and subjectivities are entangled in these unfolded temporalities, which are embodied in space and in these variations between life and death. It is a proposition of this world, of these learnings, of these questions and of this welcoming which offers this text, an invitation to listen in order to feel, to decenter oneself in order to welcome.

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.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0120.008
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.033
GPT teacher head0.327
Teacher spread0.295 · 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