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The Discussion of the HRM Practices and Procedures in Non-Profit Organization: A Case Study of Sunshine Consulting Call Center

2013· article· en· W1545184267 on OpenAlexvenueno aff
Wei Chen, Zhizhang Wang

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCall centreProfit centerBusinessHuman resource managementProfit (economics)Public relationsHuman resourcesOperations managementMarketingManagementKnowledge managementPolitical scienceComputer scienceEngineeringEconomicsTelecommunications

Abstract

fetched live from OpenAlex

Sunshine Consulting Call Center (SCCC) is a call centre (CC) which offers consulting service to women who are suffering domestic violence. It is a non-profit organization that provides high quality service with low cost. All of SCCC’s operators are volunteers. So, the Human Resource Management (HRM) practices and procedures in SCCC are different with that of profit CC. The recruitment process lays emphasis on recruitees’ emotional intelligence; performance management uses more informal evaluation rather than hard monitoring; training should not only offer to new recruiters, but also old volunteers; employees well-being consideration, which include stress management, work-life policies and occupational health and safety (OHS) also offered to retain and motivate volunteers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0270.008
Scholarly communication0.0070.003
Open science0.0030.005
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.351
Teacher spread0.319 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations4
Published2013
Admission routes1
Has abstractyes

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