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Record W7095155533

Advisory Panel Pan-Atlantic Study of the Impact of Recent Changes to Employment Insurance Advisory Panel Final

2014· article· en· W7095155533 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMandateGovernment (linguistics)PlaintiffOrder (exchange)Variety (cybernetics)Advisory committee
DOInot available

Abstract

fetched live from OpenAlex

In June 2013, Atlantic Premiers announced the creation of the Atlantic Premiers ’ Panel on Impacts of Changes to Employment Insurance to undertake a pan-Atlantic consultation and research initiative to detail the impact of recent changes make by the Federal Government to the Employment Insurance (EI) system. Although we heard a wide variety of inputs from stakeholders on all aspects of the EI system we did not include within our recommendations any comments outside of the mandate of this Panel. Throughout the past eleven (11) months we have completed the requirements for this initiative and are pleased to present to you our findings and recommendations. We have gathered input from a wide array of stakeholders, claimants, government representatives, and concerned citizens throughout Atlantic Canada. We conducted in-person sessions, a telephone survey, and reviewed written submissions in order to develop this report. We believe that we have captured within our recommendations the main effects of the changes to the EI program as experienced by Atlantic Canadians. One thing is abundantly clear- Atlantic Canadians have very deep concerns regarding the potential effects of the changes. Much of the fear stems from the issues surrounding the way that the changes were introduced (lack of communications, misunderstanding of the issues) rather than any actual experienced effects. Without detailed statistical analysis of the EI claimant data we were unable to provide a detailed data examination of actual effects. We propose that this type of analysis be conducted in the future by the provinces. We also heard support for the changes from groups that felt that the EI program had inefficiencies that needed to be addressed. However we did not receive substantiated reports of employers who were benefitting from the changes.

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)0.018
metaresearch head score (Gemma)0.050
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.544

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0090.001
Scholarly communication0.0070.002
Open science0.0020.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0320.004

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 head0.100
GPT teacher head0.336
Teacher spread0.237 · 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
Published2014
Admission routes1
Has abstractyes

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