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Record W7047664712

Implementing the Right of People with Disabilities to Vocational Training. Report of an Action-Research Seminar, Quebec City, 25-26 Aug. 2008

2008· article· en· W7047664712 on OpenAlexaboutno aff

Bibliographic record

VenueeCommons (Cornell University) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEmployabilityGovernment (linguistics)Vocational educationWork (physics)Inclusion (mineral)RehabilitationAction (physics)Vocational rehabilitation
DOInot available

Abstract

fetched live from OpenAlex

The Action-Research seminar was co-organized by the ILO Skills and Employability Department in collaboration with the CTNERHI (Centre technique national d'?tudes et de recherches sur les handicaps et les inadaptations), Global Applied Disability Research and Information Network on Employment and Training (GLADNET) and the Rehabilitation International Work and Employment Commission, with funding support by the Government of Ireland and Rehabilitation International (RI). A follow-up to the Tripartite European Regional Meeting, "The Inclusion of Persons with Disabilities in Vocational Training and Employment", held in Geneva, March 2007, and to an Expert Group Meeting on the same topic, held in Bangkok, February 2006, the seminar had three main objectives: 1. to identify elements of good practice in skills development for people with disabilities in countries around the world; 2. to highlight areas in which more progress is needed and examine attempts to address these challenges; 3. to formulate an agenda for action and research. The seminar took place in the form of four optional sessions during the Rehabilitation International World Congress, "Disability Rights and Social Participation: Ensuring a Society for All". Participants included skills development practitioners, government officials including policy-makers and administrators; disability advocates and researchers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.000

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 head0.083
GPT teacher head0.293
Teacher spread0.210 · 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 teacher head, not a consensus.

Study designObservational
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
Published2008
Admission routes1
Has abstractyes

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