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Record W7037826407

Fil Rouge ep2: Kangirsuk

2018· other· en· W7037826407 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2018
Typeother
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeConversationHappening
DOInot available

Abstract

fetched live from OpenAlex

From Ricochet Media and Planete F, this is the second episode of 'Fil Rouge', a bi-weekly series of podcasts focusing on the families, histories and traditions of eight First Nations and Inuit communities across Quebec. Subscribe on iTunes and look for it on Ricochet through summer 2018. On this episode: Kangirsuk, an Inuit community in Nunavik in Quebec's far north, is home to Harriet Keleutaq. Uprooted from her family at age 12, she was sent to Montreal to learn french and to continue her education. Today, she fights to re-learn her own language, Inuktitut, and to teach it to her children. This conversation was recorded in early 2018. Harriet Keleutaq de Kangirsuk, une communaut' inuite du Nunavik, a 't' d'racin'e de sa famille ' l''ge de 12 ans pour continuer ses 'tudes ' Montr'al, o' elle a appris le fran'ais. Toute sa vie, elle s'est battue pour r'apprendre sa langue, l'inuktitut, l'apprendre ' ses enfants et la faire survivre le plus possible. Journaliste: Yascha Wecker Narration : Natasha Kanap' Fontaine Montage : Andr' Goulet Musique :'Musique Nomade Logo : Meky Ottawa Coordination : Gabrielle Brassard-Lecours Rendu possible gr'ce au financement de Patrimoine Canada. This episode was made possible in part through funding from Heritage Canada.

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 categoriesMeta-epidemiology (narrow), 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.325
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.4310.105

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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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
Published2018
Admission routes1
Has abstractyes

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