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Record W4406421519 · doi:10.47456/rf.v20i31.47184

A forma como aprendemos nossos nomes está escrita na cor do céu

2024· article· pt· W4406421519 on OpenAlex
Michael B. MacDonald

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevista Farol · 2024
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsMacEwan University
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O céu de verão agora frequentemente assume a cor da cúrcuma. A fumaça dos incêndios florestais, soprada de centenas de quilômetros de distância, fica presa como grandes redes entre os edifícios. Edmonton, Alberta, onde tenho vivido por quase vinte anos, é uma cidade na borda da Floresta Boreal Canadense. Essa floresta faz parte da Taiga, a segunda maior floresta do mundo, que se estende pelo Canadá e continua por Islândia, Noruega, Suécia, Finlândia, Rússia, Mongólia e Japão. No Canadá, ela cobre 270 milhões de hectares entre as planícies planas e a tundra ártica desprovida de árvores. A Floresta Boreal é o território de mais de 600 comunidades indígenas, abriga a maior parte das reservas conhecidas de combustíveis fósseis do Canadá, armazena mais de 208 bilhões de toneladas de carbono (11% do total mundial) e, junto com a Floresta Amazônica, constitui um dos dois grandes pulmões do planeta.

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0060.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.063
GPT teacher head0.334
Teacher spread0.271 · 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