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Record W1587506585

Analysis of British Columbia Caseload for Data Persons Working With a Disability and Persons with Persistent and Multiple Barriers

2008· article· en· W1587506585 on OpenAlexaboutno aff
Michael E. Goldberg, Tim Stainton

Bibliographic record

VenueCanadian Review of Social Policy / Revue canadienne de politique sociale · 2008
Typearticle
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsPovertyGovernment (linguistics)Demographic economicsChristian ministryDisability benefitsPolitical scienceSocial securityMedicineEconomic growthBusinessEconomicsFinanceLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper is based on data received from the British Columbia Ministry of Employment and Incorrle Assistance (MEIA) 2fo llowing a Freedom of Information request. The data include caseload statistics for persons with a disability from September 2000 -July 2006. The analysis considers the overall composition of the caseload, and changes in key issues such as tale up of the Community Volunteer program and the utilization of earnings exemptions. An outline of the overall employment situation for persons with disabilities, followed by a brief discussion of the BC disability benefit system and the reforms introduced by the Liberal government in April 2002, are discussed. A tentative conclusion is made that the e~perience in BC would suggest that little, if any, savings are to be found in disability related benefits. The data appear to indicate that while enhancement to employment opportunities and additional income from earnings are important for persons wlth disabilities, their effects are limited in terms of numbers. The data also suggest that an enhanced focus on maximidng earnings exemptions may prove an effective strategy for reducing poverty amongst persons with disabilities (PWD). Finally, the data suggest significant numbers are and will remain dependent on benefits and consequently, it is critical for income assistance rates to be increased if the income security for persons with disabilities or multiple and persistent barriers to employment are to be improved. Cet article s'appuie sur des donn6es fournies par le minist2re de l'emploi et de l'aide au revenu (Ministry of Employment and Income Assistance3) de fa Colombie-Britannique h la suite d'une demande d'accds h l'infomation. Les donne'es comprennent les statistiques relatives au nombre de personnes handicape'es en Colombie-Britannique entre septembre 2000 et juillet 2006. L'analyse examine la composition globule de cette cat6gorie de personnes, de mgme que les changements relatifs h certains enjeux cks comme l'utilisation du programme communautaire de b6ne'volat et le recours aux exemptions de gains. L'auteur trace les grandes lignes de la situation d'emploi des personnes handicap6es et emmine bnkvement le systgme de pestations d'invalidite' de la Colombie-Britannique et les re'fomes apporte'es par le gouvernement liberal en avril2002. En guise de conclusion povisoire, l'article avance que, si l'on se fie h l'exemple de la Colombie-Britannique, les 6conomies &coulant d'une re'forme du systime de pestations d'invalidite' sont ne'gligeables, sinon nulles. Les donnees semblent indiquer que, si l'augmentation des possibilit6s d'emploi et des revenus additionnels provenant du travail est importante pour les personnes handicape'es, son effet est limite' quant au nombre de personnes qui en be'neficient. Les donne'es donnent e'galement h penser que l'augmentation des exemptions sur le revenu gagne' pourmit constituer une strate'gie eficace pour re'duire la pauvrete' c h s les personnes handicape'es. Enfin, toujours selon les donne'es, puisqu'un nombre consi&rable de personnes handicape'es sont et resteront &pendantes des pestations d'invalidite', il est essentiel de bonifier le taux d'aide au revenu dans le cadre d'une e'ventuelle ame'lioration de la se'curite' du revenu des personnes handicape'es ou des personnes qui se heurtent h de multiples et persistants obstacles h l'emploi.

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)0.002
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 score0.095
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.106
GPT teacher head0.322
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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