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Record W4396510291 · doi:10.5539/ies.v17n3p9

Points of Incompatibility Between the Turkish Education System and Human Resources Management

2024· article· en· W4396510291 on OpenAlex

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

VenueInternational Education Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Administration and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishMathematics educationPsychology

Abstract

fetched live from OpenAlex

This study aims to explain the reasons for the difficulties in the implementation of Human Resources Management (HRM) in the Turkish education system by revealing the incompatibilities between them. A literature review and document analysis on official statistics, laws, and newspapers were conducted. First, we reviewed the implementation of HRM functions in Turkey. After that, we tried to reveal its basic features by examining the factors that led to the emergence of HRM in the historical process and the new forms it took over time. In addition, we examined the effects of neoliberal policies on the working conditions of teachers in public and private schools. We discussed the working conditions of teachers in public and private schools in Turkey separately. As a result of the review, we argue that acting in line with the efficiency/success target and the contradictions between Industrial Relations and HRM are among the main reasons for the incompatibility between the education system and HRM in Turkey.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.217

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.053
GPT teacher head0.438
Teacher spread0.385 · 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