New Perspectives on the Drivers of Newcomer Socialization
Bibliographic record
Abstract
The time of early entry, when newcomers experience organizational socialization, is one of the most critical phases of the employer-employee relationship. Decades of research has led to a wealth of knowledge regarding the importance of the socialization process, where newcomers undergo an adjustment period to transform from organizational 'outsiders' to contributing and effective 'insiders'. Yet changes to the contemporary organizational landscape (e.g. increased workforce mobility and alternative work arrangements) continues to generate new research questions, as well as prompting the need to revisit traditional assumptions to broaden our understanding of this important organizational phenomenon. Through four presentations and discussion time with two esteemed scholars in the field, we aim to expand understanding on improving the drivers of successful socialization both from methodological and theoretical points of view. This symposium is wide-ranging in its scope, bringing an international perspective on socialization with contributions from Canada, New Zealand, the Netherlands, and Australia with discussants from the United States. Our symposium takes into account the changing nature of work while drawing from rich information gained from previous research on socialization. Specifically, two papers test propositions of the recently developed and increasingly recognized Socialization Resources Theory, one explores organizational socialization in virtual contexts, and another introduces a refined framework and scale for socialization tactics. In doing so, we hope to stimulate meaningful discussions and future investigations into organizational socialization research, in particular how we can tailor socialization practices to employees’ situational circumstances for the benefit of employees and organizations alike. An Investigation of the Relationship between Socialization Tactics and Resources Presenter: Alan Saks; U. of Toronto Presenter: Jamie A. Gruman; U. of Guelph Social Socialization Resources: Associations with Newcomer Adjustment Moderated by Work Autonomy Presenter: Lisa Harris; U. of Auckland Presenter: Helena Cooper-Thomas; Auckland U. of Technology Presenter: Peter Smith; U. of Auckland Presenter: Gordon W. Cheung; U. of Auckland Implications of New Employees’ Strategic Value for their Virtual Organizational Socialization Presenter: Sasa Batistic; Tilburg U. Presenter: Helena Cooper-Thomas; Auckland U. of Technology Presenter: Renata Kenda; Tilburg U. Newcomer Socialization Tactics: Toward a Refined Framework and Scale Presenter: Jane Chong; U. of Western Australia Presenter: Marylene Gagne; Curtin Uni Presenter: Djurre Holtrop; Curtin Uni Presenter: Serena Wee; Singapore Management U. Presenter: Patrick Dunlop; Curtin Business School
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".