Social disclosure, legitimacy theory and the role of the state
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The principal objective of this paper is to expand the scope of legitimacy theory (LT) through a detailed analysis of the links that exist between the legitimising strategies of firms and the characteristics of the political environment in which they are developed. Designs/methodology/approach A discourse analysis was performed on the social and environmental disclosure (SED) of a multinational in the automotive sector with an established presence in Spain, in the context of the relational dynamics between the firm/society/state. Different channels of information were compared to capture both the official discourse as represented in the annual reports of the multinational and the discourse of employees and the State as represented in the media. Findings The results of the research show that the firm under study used SED strategically to legitimise a new production process through the manipulation of social perceptions, and that this strategy was supported implicitly and explicitly through ideological alignment with the State. Research limitations/implications Despite a widely‐held assumption of a pluralist political context, the State is presented here as aligning itself with corporate management as opposed to the welfare concerns of employees. Thus, future research calling for regulation of SED should preface such calls with consideration of the orientation of the State. Originality/value In contrast with the dominant approach to LT that considers the relationship of the firm with its stakeholders, the present study widens the scope of LT to consider the interplay between firm legitimating strategies and state support for such strategies.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it