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Record W7101054194

Preamble

2010· article· en· W7101054194 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsCommissionPreambleDiversity (politics)PopulationReasonable accommodationWork (physics)Inclusion (mineral)
DOInot available

Abstract

fetched live from OpenAlex

The central goal of the Faculty of Nursing Four Year Baccalaureate Program is to prepare graduates who are able to provide safe, compassionate, competent and ethical nursing care consistent with entry-level competencies as defined by the College of Registered Nurses of Manitoba. The goal of the Baccalaureate Program for Registered Nurses (BPRN) is individual career development and advancement of nursing practice. Admission criteria are designed to select academically qualified students with the potential to be successful in the program and ultimately the profession. The student population should reflect the diversity of Canadian society, including people with disabilities. The Canadian Human Rights Act (Canada) (R.S., 1985, c.H-6) defines disability as physical or psychological, permanent or temporary impairments. The Manitoba Human Rights Commission (1998) further states that “A disability becomes a handicap when it interferes with the activity to be done, but it is often possible to remove the handicap by making adjustments in the work or living environment. ” The Human Rights Code (Manitoba) (C.C.S.M. c. H175) requires that all individuals be accorded equality of opportunity, and that reasonable accommodation be made for those with special needs. The University of Manitoba is committed to facilitating the integration

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)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.592
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.003
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.4080.334

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 head0.032
GPT teacher head0.378
Teacher spread0.346 · 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.

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
Published2010
Admission routes1
Has abstractyes

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Same topicDisability Education and EmploymentFrench-language works237,207