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Record W7042436140

Peer Learning Event on Sustainability of Grantmaker Associations and Support Organisations

2006· article· en· W7042436140 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

VenueIssue Lab (Candid) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityEvent (particle physics)Meaning (existential)Peer reviewKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

A report on peer learning event held June 29 - July 1, 2006 in Istanbul, Turkey. Sustainability is a key issue for most grantmaker associations and the group that met for the peer learning event (PLE) on this topic from 29 June to 1 July 2006 was a good cross-section of the field. Some of the participants were from organisations two years old or less, while two others were among the tiny handful created in the 1940s. Size and range of members varied widely as did levels of experience of the participants themselves. Some have had concentrated periods to assess and stabilise their organisations while others are developing sustainability strategies. Two organisations present, while sharing the role of promoting and supporting philanthropy, are not based on a membership structure and thus brought yet another perspective. The countries involved were Brazil, Canada, Ireland, Kenya, Malaysia, the Philippines, Portugal, Romania, South Africa, Turkey and the USA (one organisation US-wide, others covering Northern California, South Florida, and south western states): thus the cultural, economic, legal and historical contexts were extraordinarily different too. The differences did not dominate discussion but in some ways enhanced it with multiple perspectives and varied approaches, and occasionally requiring some careful teasing out of the meaning of terms or tactics in different contexts -- always an enlightening process.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.327
Teacher spread0.317 · 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