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Record W2608140694 · doi:10.5539/ies.v10n5p36

The Role of Social Networking Sites in Creating Moral Crisis and the Role of the University in Confronting It from the View Point of Qassim University Faculty Members

2017· article· en· W2608140694 on OpenAlexvenueno aff
Hend Sam’an Ibrahim Al-Smadi

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsPoint (geometry)University facultyPsychologySociologySocial psychologyPedagogyMedia studiesMedical educationMedicine

Abstract

fetched live from OpenAlex

The study aimed at recognizing the effect of the social networking sites (henceforth snss) in creating moral crisis and the role of the university in its confrontation from the view point of faculty members at Qassim University. Two tests were constructed; the first included (29 items) developed to identify the role of snss in creating moral crisis from the view point of faculty members at Qassim University, the second included (25 items) developed to identify the role of the university in confronting the moral crisis from the view point of faculty members at Qassim University. Faculty members (No. 154) at Qassim University completed the two tests, they rated the role of snss in creating the moral crisis, it was moderate; the overall means score was (2.16). The role of the university in confronting the moral crisis from the view point of the faculty members was moderate also; the overall mean score was (2.20). Statistical differences of type of the faculty and the academic degree were not found.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.576

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.296
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2017
Admission routes1
Has abstractyes

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