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Record W7064919112

Cultivating a Culture of Research Ethics Packet: Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (1998 With 2000, 2002, 2005 Amendments); Giving Voice to the Spectrum: Report of the Social Sciences and Humanities Research Ethics Special Working Committee to the Interagency Advisory Panel on Research Ethics (June 2004); Interpreting the TCPS: A Collection of Official Responses From the Interagency Advisory Panel and Secretariat on Research Ethics, Prepared In 2003, to Community Requests for Interpretations of the Tri-Council Policy Statement (December 2004): Ethical Conduct for Research Involving Humans (TCPS); Interpreting the TCPS: Volume II. the Second Collection of Official Responses From the Interagency Advisory Panel and Secretariat on Research Ethics to Community Requests for Interpretations of the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS) (December 2006); DVD: The Ethics of Research Involving Indigenous Peoples. Report of the Indigen

2004· other· en· W7064919112 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalGeorgetown (Georgetown University Library) · 2004
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsResearch ethicsInformation ethicsEthical issuesEthical codeJoint (building)Nursing ethicsSocial researchMeta-ethics
DOInot available

Abstract

fetched live from OpenAlex

The Interagency Advisory Panel on Research Ethics (PRE) is a body of external experts established in November 2001 by three Canadian Research Agencies to support the development and evolution of their joint research ethics policy the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS).

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)0.358
metaresearch head score (Gemma)0.312
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMetaresearch, Science and technology studies, Open science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3580.312
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.014
Science and technology studies0.0300.024
Scholarly communication0.0010.001
Open science0.0110.012
Research integrity0.0030.063
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 head0.310
GPT teacher head0.419
Teacher spread0.110 · 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 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
Published2004
Admission routes1
Has abstractyes

Explore more

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