MétaCan
Menu
← Back to cohort
Record W4393714008 · doi:10.5281/zenodo.10323363

Eternal Drum of Solidarity (Low Res Baked)

2021· dataset· en· W4393714008 on OpenAlexaboutno aff
qvercetty

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsDrumSolidarityArtGeographyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

This digtal monument & future imagineering is an offering created in honour & to honour the continum of solidarity & co-existence between Black & Indigenous folks in what is currentlty known as Toronto, Canada, also referred to as Tkaronto & Turtle Island. It is focused on the commonality of the innerstanding amongst that the drum is recongenize as a feminine energy & opporates as giver, healer, teacher, & reminder of our syncronation and relation to the world around us & to other human. The work is informed by several conversation with Black and Indigenous figures which inspired thel visual metaphors and metonymic semiotics coinciding with speaking to the ideas of balance and unity with all things. As an offering the piece will continue to be upgraded &updated as I will be seeking to get contribution from more Indigenous folks. In the meantime and between times offer and share whatever words comes to you Music by JAH'KOTA - Welcome To the Matriach https://www.youtube.com/watch?v=9hVKXWJL5oM Source: Objaverse 1.0 / Sketchfab

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.149
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1490.156

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 head0.299
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicIndigenous Health, Education, and Rights→French-language works237,207→