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Record W2609746042 · doi:10.5539/ibr.v10n5p169

Understanding the Behavioral Paradox of the Companies’ by Using "The Corporation" Documentary

2017· article· en· W2609746042 on OpenAlexvenueno aff
Ayşegül Özbebek Tunç, Esra Kiliçarslan Toplu, Selim Yazıcı

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFilm in Education and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationInterpretation (philosophy)SociologyPublic relationsOrder (exchange)Frame (networking)Impression managementPsychologyManagementEngineering ethicsPolitical scienceBusinessSocial scienceLawComputer scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

Films are widely used in business education to illuminate management concepts. Since films can provide a version of how theories and concepts can actually be put into practice, they have more lasting impression. On the other hand; ethical issue are complicated and they involve many processes and influences that are diverse and interlinked. That’s why it is difficult for students to understand potential conflicts of interest if they lack business experience or frame of reference. In this study, “The Corporation”, a documentary film by March Achbar, Jennifer Abbott and Joel Bakan, which has received awards in film festivals around the world, has been used for analysis to illustrate the behavioral paradox of corporations. Film analysis has been used as an educational tool in order to teach organizational behavior and management concepts since 1970s. To check our assumption we have designed a study to explore whether using "The Corporation" documentary in classroom settings will raise the awareness of the students about the role that corporations play in ethical, social, and environmental issues which are essential for business decisions, and thus enable the students -the future business managers-, to understand the paradoxical behaviors of corporations. After the students watched “The Corporation”, a quantitative analysis has been conducted by comparing the written essays of the students as regards their interpretation of the film.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.597
GPT teacher head0.591
Teacher spread0.005 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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