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Record W2210378926 · doi:10.5539/mas.v10n1p52

Differences in Motivation between Male and Female in Slovakia in 2015

2015· article· en· W2210378926 on OpenAlex
Miloš Hitka, Milota Vetráková, Žaneta Balážová

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

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldEngineering
TopicTransport and Logistics Innovations
Canadian institutionsnot available
FundersVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsSpan (engineering)Style (visual arts)Life spanPsychologyGerontologyMedicineArtLiteratureStructural engineering

Abstract

fetched live from OpenAlex

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0cm 0cm 4pt; line-height: normal;"><span style="font-family: Times New Roman;"><span lang="EN-GB" style="font-size: 10pt; mso-ansi-language: EN-GB; mso-bidi-font-weight: bold;">Meeting human needs or life</span><span lang="EN-US" style="font-size: 10pt; mso-ansi-language: EN-US; mso-bidi-font-weight: bold;">’s challenges, internal and external environments as well as some further factors affect </span><span lang="EN-GB" style="font-size: 10pt; mso-ansi-language: EN-GB; mso-bidi-font-weight: bold;">motivation significantly.<span style="mso-spacerun: yes;"> </span>All factors are interconnected to each other and they create mutually connected parts of network. <span style="mso-spacerun: yes;"> </span></span><span lang="EN-GB" style="font-size: 10pt; mso-ansi-language: EN-GB;">In the paper we mention the issue of motivational differences between male and female in Slovakia in the year 2015. Sampling unit contains 4,099 respondents. <span style="mso-bidi-font-weight: bold;">Deep knowledge of the differences plays a key role in employee job performance and affects the employees’ motivation effectively. <span style="mso-spacerun: yes;"> </span>Results of the social inquiry confirm great similarity between motivation factors of male and female in Slovakia in 2015. </span>Despite small significant differences we can state that there is a possibility of creating unified motivation programme for employees regardless of gender. <span style="mso-spacerun: yes;"> </span>Specific gender differences in the level of motivation have to be taken into account in order to increase motivation. In the future meeting the needs of employees can cause the changes in their motivation requirements. Therefore we suggest the organisation to update motivation programme from time to time.</span><span lang="EN-GB" style="mso-ansi-language: EN-GB;"><span style="font-size: small;"> </span></span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.073
GPT teacher head0.257
Teacher spread0.184 · 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