The Content of Corporate Social Responsibility Information: The Case of Greek Telecommunication Sector
Bibliographic record
Abstract
The aim of this study is to illustrate what and how stand-alone Corporate Social Responsibility (CSR) reports and web information provide to readers. These characteristics are recorded in predetermined schemes. The study focuses on the telecommunication sector, especially on fixed and mobile telephony and internet access providers in the Greek market. In all, five companies that provide CSR reports are identified. Their characteristics are categorized by four main predetermined dimensions, namely: type of communication, context, indicators and distinctions. The content analysis technique is selected as it is widely accepted and used in the field of CSR report research. The analysis indicates that three annual reports are almost similar in all dimensions and sub-dimensions. All of the companies publish their management systems certifications and awards and both Greek and English information versions exist; however, there are contradictory results in the dimension of indicators, the sub-dimensions of report guidelines and stand-alone reports. The value of the paper is to promote the standardization of CSR report.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".