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Record W7064568138

Birthing and re-birthing Down Under: from ARM-A to AMIRCI

2011· article· en· W7064568138 on OpenAlexaboutno aff

Bibliographic record

VenueBond University Research Portal (Bond University) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)Plan (archaeology)Center (category theory)Connection (principal bundle)
DOInot available

Abstract

fetched live from OpenAlex

ExtractIn Australia an organization that focused on the academic study of mothering did not exist. In 2000 several mothers, including Julie Kelso and Marie, who were both Ph.D. researchers at the University of Queensland, formed a committee to plan a day devoted to presentations focusing on the study of mothering. This informal structure became a formal association in 2005, taking the name "The Association for Research on Mothering-Australia" (ARM-A). ARM-A is a non-profit incorporated feminist organization that exists to promote research into mothering/motherhood/mothers. In August, 2010, at our Annual General Meeting, we voted to change the name of our Association to the Australian Motherhood Initiative for Research and Community Involvement (AMIRCI) to maintain our connection with the Canadian ARM now changed to MIRCI. In this chapter, we outline the history of the Australian Association, the reasons we established it, the background to our choice of name, our philosophy and our goals. We have had our successes and our failures, and will outline these aspects of our experiences.

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)0.009
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.107
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.008
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.259
Teacher spread0.212 · 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
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
Published2011
Admission routes1
Has abstractyes

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