MétaCan
Menu
Back to cohort
Record W7068769607

Presence / Absence

2017· article· en· W7068769607 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

VenueClark Digital Commons (Clark University) · 2017
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousState (computer science)PoliticsBattleDoctoral dissertation
DOInot available

Abstract

fetched live from OpenAlex

Chair: Anna Aleksanyan, Strassler Center Doctoral Student\nDiscussant: Valerie Sperling, Professor of Political Science, Clark University\n"Mass Atrocities” Melanie O’Brien, Postdoctoral Research Fellow, TC Beirne School of Law, University of Queensland, Australia and Researcher, Asia-Pacific Centre for the Responsibility to ProtectDOWNLOAD PAPER \n“Warrior Women: Indigenous Women and the Battle to Hold the Canadian State Accountable” Robyn Bourgeois, Lecturer, Coady International Institute, St. Francis Xavier University, Nova Scotia\n“Accounting for Murdered and Missing Indigenous Women in Canada” Danielle Taschereau Mamers, Doctoral Student, Information and Media Studies, University of Western OntarioDOWNLOAD PAPER\n“Inner Peace? Sexual Violence, Accountability, and the Strength of Silence” James Sedgwick, Assistant Professor in History, Acadia University, Nova ScotiaDOWNLOAD PAPER

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), Science and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
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 studies0.0010.001
Scholarly communication0.0010.004
Open science0.0080.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.214
Teacher spread0.191 · 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