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Record W4409406862 · doi:10.26443/jcreor.v5i2.126

Learning From Reflection and Looking to the Future

2025· article· en· W4409406862 on OpenAlexvenueno aff
Ahmed Shaheed, Jonathan Tridgell

Bibliographic record

VenueJournal of the Council for Research on Religion · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsReflection (computer programming)EpistemologySociologyHistoryPsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The following article discusses the UN Special Interim Report and its significance to the rights of Indigenous Peoples. The article reviews how the UN Special Interim Report of the Special Rapporteur on Freedom of Religion or Belief has been used as a critical tool for promoting and protecting the rights of Indigenous Peoples globally by emphasizing the need for meaningful engagement with Indigenous individuals and communities in decision-making processes, notably on issues that affect their traditional lands, waters and resources and their spiritual practices. The article also discusses how the UN Special Interim Report was developed through extensive consultations with Indigenous Peoples, community groups, and various stakeholders with the scope of revealing the challenges faced by Indigenous Peoples. Finally, the article will reflect upon the positive responses generated by the Report and the ongoing discourse to encourage further engagement with the findings.

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)0.042
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.050
Scholarly communication0.0200.025
Open science0.0040.017
Research integrity0.0060.015
Insufficient payload (model declined to judge)0.0070.002

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 head0.194
GPT teacher head0.501
Teacher spread0.307 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

Explore more

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