La Responsabilidad Social con la comunidad como atributo de identidad en la construcción de la imagen corporativa de la Cooperativa León XIII del distrito de Trujillo - 2013.
Bibliographic record
Abstract
The present research work aims at assessing the impact of Social Responsibility as an attribute in the formation of corporate image SAVINGS AND CREDIT COOPERATIVE LEON XIII. The research problem is referred to the following question: Is the Social Responsibility to the community is an identity attribute that contributes to building the corporate image of the cooperative district Leo XIII Trujillo? , Whose hypothesis is: The Social Responsibility to the community is an identity attribute that contributes to building the corporate image of the cooperative district Leo XIII Trujillo. Stressing study variables: independent variable: Social responsibility to the community, and Dependent Variable: Corporate image of the cooperative Leo XIII.\nWith the evaluation of the impact of social responsibility on the corporate image of the cooperative Leòn XIII, the company will develop strategic projects, which will increase its good corporate image and strengthen its position. Descriptive design was used, and the following methods: analytical and inductive. The study population consisted of inhabitants of the district of Montreal, from which established a representative sample of 384 people. Technique was applied as the survey data collection.\nThrough the results, it can be seen that the Cooperative Savings and Credit Leo XIII recognized and has prestige, but there is a part of the respondents agree that the actions of social responsibility of the Cooperative Savings and Credit Leo XIII focuses more on social assistance rather than on other aspects.\nWith this research report concluded that social responsibility is an attribute of identity in corporate image building Leo XIII.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".