Parenting Self-Efficacy within the First Year Postpartum in Non-Birthing Parents: A Scoping Review Protocol
Bibliographic record
Abstract
Abstract Objective The objective of this scoping review is to identify and analyze the literature on parenting self-efficacy in the non-birthing parent within the first year postpartum. Introduction Parenting self-efficacy is a parent’s confidence in their ability to organize and execute a set of tasks related raising children and providing them with protection and care in order to ensure their healthy development. To date, much of the work on parenting selfefficacy has focused on the birthing parent (e.g., mothers) excluding the non-birthing parent (e.g., fathers and LGBTQ+ parents). Inclusion criteria Studies that include participants that identify as the non-birthing parent (regardless of sex or gender) who have had an infant less than 12 months of age. Various self-efficacy outcomes related to parenting will be included, as well as sub-types of selfefficacy (e.g., chest/breastfeeding). No limitations based on context, geography, or parity will be applied. All qualitative and quantitative study designs will be included. Methods Databases to be searched will include MEDLINE, Embase, Web of Science, CINAHL, and PsycINFO with no time limitations applied. Title and abstracts and full text will be screened by two reviewers with disagreements solved with a third reviewer. The data extracted will include specific details about the population, study, methods, and outcomes. Data will be reported narratively and in tables, as appropriate.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.097 | 0.082 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.014 | 0.012 |
| Bibliometrics | 0.022 | 0.015 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.066 | 0.013 |
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 source (direct Gemma or distilled Codex), 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".