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2019· paratext· en· W4254261586 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicSustainable Finance and Green Bonds
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingIndex (typography)PublishingCorporate governanceBusinessPolitical scienceFinanceLaw

Abstract

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ABC. See Activity-based costing (ABC) Activity-based costing (ABC), 70, 75 Africa climate adaptation strategies, 2 environmental reporting and management in, 1 GHG emissions in, 1, 2 AFS.See Annual Financial Statements (AFS) AGI.See Association of Ghana Industries (AGI) Annual Financial Statements (AFS), 37, 43À45, 47À48, 52À53, 57, 58À59, 60, 61À62 opinion on efficacy of, 54À57 Association of Ghana Industries (AGI), 140À141 Bank of Ghana, 43À44 Biodiversity, 139 Brundtland Commission, 70 Business case, 71À72, 73À74, 76À77, 81À84 Carbon Disclosure Project (CDP), 97 South Africa Water Report, 92À93, 97À98, 103À104, 105, 116 Carrot & Stick Report (2016), 160 CBN.See Central Bank of Nigeria (CBN) CCG.See Centre for Corporate Governance (CCG) CDP.See Carbon Disclosure Project (CDP) CDP Water Disclosure, 97 CDP Water Survey, 101À102 Central Bank of Nigeria (CBN), 166 Nigerian Sustainable Banking Principles, 166À167, 169, 172, 173 Centre for Corporate Governance (CCG), 13 CER Disclosure Index, construction of, 16À17 Ceres, 98 Ceres Aqua Gauge™, 98, 101À102, 105À108, 110, 112 Ceres Roadmap for Sustainability, 101À102 Feeding Ourselves Thirsty 2017, 100, 103, 104, 105, 107À108, 110 Clean Air Act Amendment of 1970, 14À15 Climate mitigation, 2 Conference of Parties (COP21), 2, 70 Conference of Parties (COP22), 2 Continuous professional development (CPD), 62 Control and Prevention of Bushfire Act 1990 (PNDCL 229), 131À132 Corporate environmental reporting and stock liquidity, 9 bivariate analysis and diagnostic tests, 22, 23 CER Disclosure Index, construction of, 16À17 control variables, 16 descriptive statistics, 18À22 empirical review, 14À16 183 framework of, 12À13 panel regression estimation results, 22À26 robustness checks, 26À29 sample and data, 18, 19À20 theoretical development, 13À14 variable definition and empirical model, 17À18 Corporate responsibility reporting (CRR), 40 Corporate social disclosures (CSD), 39À40 Corporate social responsibility (CSR), 11, 42À43, 96, 135 Cost of compliance, 74À75 CPD.See Continuous professional development (CPD) CRR.See Corporate responsibility reporting (CRR)

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)0.007
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 score0.741
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.010
Science and technology studies0.0020.001
Scholarly communication0.0130.008
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7410.772

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 head0.023
GPT teacher head0.220
Teacher spread0.197 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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