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Record W7064573437

Community Economic Development Opportunities in Alberta

2016· other· en· W7064573437 on OpenAlexaboutno aff

Bibliographic record

VenueAUSpace (Athabasca University) · 2016
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaGestational periodArticular cartilage damageHemopericardiumPretext
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Community Economic Development Network (CCEDNet) and Momentum, a Calgary, Alberta based community economic development (CED) organization, have issued this brief in Alberta. The brief is directed to the Alberta government. The Government of Alberta is committed to investing in job creation, economic diversification, renewable energy, and being the best place to start and grow a small business. The innovative tools of community economic development (CED) can amplify these economic initiatives by enabling the creation of more social and co-operative enterprises, providing jobs for disadvantaged Albertans, and advancing community-owned renewable energy. The following three strategies can most benefit Albertans given the current economic challenges and opportunities in Alberta: Investing in a Community and Coop Business Secretariat, supported by the Ministry of Economic Development, and hosted at a community based agency. A focus on technical support and connecting businesses to capital and resources. Providing technical, regulatory, and financial support to community-owned start-ups and projects focused on renewable energy development. Creating a market exemption for everyday Albertans (unaccredited investors) to invest in local businesses, social enterprises and co-operatives, and ensuring they benefit from the Alberta Investor Tax Credit.

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)0.001
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.115
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.002
Scholarly communication0.0080.001
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0580.005

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 head0.026
GPT teacher head0.235
Teacher spread0.209 · 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
Published2016
Admission routes1
Has abstractyes

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