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Social Issues of People with Special Needs in Modern Mass Media

2019· article· en· W2944757344 on OpenAlex
Almagul Kurmanbayeva, Larisa Noda, Nurlyaiym Danayeva, Zhibek Nogaibayeva, Klara Kabylgazina

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsMass mediaSocial mediaSociologyMedia studiesComputer scienceBusinessAdvertisingWorld Wide Web

Abstract

fetched live from OpenAlex

This research paper discusses the problem of social issues, especially the issues of people with intellectual disabilities and how modern mass media supports. Mainly one case study was represented from aspects working with people with ID. This study aimed to examine how the press represents people with intellectual disabilities and how it helps people with this problem. The study was conducted using the method of qualitative content analysis. The material for the report consisted of research. The survey covered the year 2016. The purpose of this qualitative study was to produce an overview of topics and practical recommendations that have been presented for teaching for students with intellectual disabilities. To represent the richness of this research area, the topic was purposely left broad, and the outline was made by focusing on the practical implications of research articles. These recommendations were identified, classified, synthesised, and evaluated. The implications for practice and research are presented based on the findings of this study This research is of significant value, as a contribution to the journalism science policy not only in Kazakhstan but abroad as well. It demonstrates that social issues of the problems of people with ID in modern mass media are widely discussed and are of great importance from the sight of an audience.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.326
Teacher spread0.296 · 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