Thread regarding Chevron Corp. layoffs

I worked for Midland: KR – General Electric, and now that person is saying some really damaging things about Chevron. They’ve talked about how they were instructed to make recordables disappear, and how there was pressure from the VP to make everything look better than it actually was. Talk about burning bridges! They were replaced by Canada: AS – Midland. Honestly, I have no idea how either of them got to where they are. Actually, yes I do—Chevron DEI. It looks like Chevron is facing the consequences of what it has sown.

The one to watch out for now is the person in charge of audits. She covered up so much in Bakersfield that it's downright scary. She developed a reputation for being the one who could make recordables disappear.

@e7 It also seems like "some individuals" want you to believe that can figure out who is posting, details about them, meanings behind the posts, etc. Except they are wrong, dishonest and lying and AI if used is mostly wrong.
So there's that,
yawn

It seems that some individuals may post negative content about themselves with the intent of eliciting sympathy or encouraging others to defend them. However, it is important to recognize that these individuals often control the narrative surrounding their own circumstances.

For reference, here are the associations I am aware of:

Midland: KR – General Electric
Houston: GR – EMC
Canada: AS – Midland
Venezuela: VR – Houston (currently)
Kazakhstan: RY – [Sad Face]

Likely some disinformation consultant posting this. Weird references to typing speed (not possible to derive from web scraping) and pasting text into ChatGPT (no one working in AI says they pass a million posts into ChatGPT).

Hired disinformation is a cheap and effective way for Chevy to try to keep the fear in you.

This site lives rent free in LTs heads

We've entered the stage where truth is treason, even in the corporate world.

Dude, that is what Chevron paid me to do and very well I might add. Maybe you should learn how to use AI and you would not be on the cutting block. Facts is facts mate.

If you have so much free time that you are sitting around playing with ChatGPT and AI to analyze the Layoff site post history you literally need a job and should be working on your resume because you are 100% in scope. Just in case you had any doubt.

@aj, They have called me "popcorn" many times and I still work here at Chevron. The troll is a person who calls everyone "popcorn" and refers to whomever, from some ancient post who is likely already long gone and the simpleton is paranoid and thinks many other people are that person. Or perhaps they just think "popcorn" is an insult? They seem to get all triggered about pensions, annuity or lump sum and those discussions for some reason. And they think they know more than everyone but the troll is quite d-mb.
I hope I trigger that person to come out of his wfh basement . let's see..........

As a representative of the IT department, I would like to emphasize the surprising number of employees who utilize their company computers to access this site. We consistently remind staff that company computers are intended exclusively for business purposes. It is important to note that all activities conducted on these devices are monitored and recorded; when connected to the network, this information is transmitted to corporate headquarters.

Consequently, Chevron leadership is aware that numerous current employees engage with this site. Generally, as long as no confidential information is disclosed, the company does not take action. However, please be advised that if you access this site using your company computer, it will be tracked, and this information will be made known to the appropriate parties. We encourage you to exercise discretion and make informed decisions regarding your online activities.

If you go back through this site detail you see the trends. There is the popcorn guy who left and sc--wed up his pension. There’s countless IT posts about inefficiencies. You had a COVID uptick due to work from home and transformation, that brought DP and JG into full view. RM then became the centre of distrust. For me as an employee of over 25 years it’s always been clear that it’s a handful of people who post on here. Those people had delusions or importance that were destroyed in the reorgs and took to here to try and show how intelligent they are. Many have left - many have tried to get back in to Cvx. In lesser positions or as “returning experts”. This is despite being shown the door. It shows you the type of people they are.

I am not saying it is good or bad that most of the posters are female. It is just the analysis. You are making your own conclusions.

Makes sense that it’s mostly woman posting. Thankfully with DEI now in the past we can get back to being a male dominated company. Thank you DJT!

Don't toss me under the bus @ac+1jma2zk3y

OP = JB

Why would you call this person a troll? From what I have read and in meetings with my boss, this all sounds correct to me. Where are the inaccuracies?

One of the key reasons I decided to leave Chevron was the increasingly negative environment I observed over time. In psychology, it’s often said that resorting to name-calling or labeling someone, such as calling them a "troll," is a defense mechanism that deflects from engaging in meaningful dialogue. It's an easy way to avoid addressing the core of a disagreement and often reflects a lack of emotional maturity. I encourage you to engage more thoughtfully and respectfully. Instead of resorting to labels, challenge ideas with constructive feedback. A principle I believe in is: "If you don’t have something positive to say, it’s best to remain silent."

TROLL.
Thanks for making me laugh this morning.

Thank you for your note. I greatly appreciate it and am passionate about this work. I hope the following information proves useful. I compiled this analysis for Chevron Leadership last summer, prior to leaving the company in October to join Google. I am now working remotely from Las Vegas. I trust you’ll find the analysis insightful, and I hope you enjoy reviewing it.

1. Collected Articles from Layoff.com

I’ve already gathered a series of articles and posts from Layoff.com over the years, focusing on key events and layoffs at Chevron, metadata on post etc. These posts span several years, providing valuable insights into the changing landscape of job cuts within the company. By collecting data from multiple time periods, I was able to track shifts in the company’s workforce, the industries affected, and the broader implications for Chevron employees.

2. Organized the Data by Year

After gathering the articles, I organized them by year to track the patterns and trends in Chevron layoffs over time. This allowed me to see how the company’s workforce changes evolved year after year and helped identify the larger picture of how layoffs at Chevron were being reported and responded to in various periods.

3. Summarized the Articles Using ChatGPT

Once the articles were organized, I inputted them into ChatGPT for summarization. By breaking the articles into smaller sections, I asked ChatGPT to summarize the main points of each post, highlighting the key details such as the companies involved, the number of layoffs, and any relevant industry shifts. The summaries provided a clearer view of the key themes and events over the years, shedding light on the most impactful layoffs and their outcomes at Chevron.

4. Analyzed the Trends and Changes in Chevron Layoffs

With the summarized articles, I prompted ChatGPT to identify broader trends in Chevron layoffs over the years. Specifically, I asked about patterns in the frequency of layoffs, the industries most impacted by these cuts, and any significant shifts in the workforce. ChatGPT helped me pinpoint recurring themes such as the impact of global economic downturns or specific corporate restructuring initiatives that led to large-scale layoffs at Chevron.

5. Deeper Analysis: Connecting the Dots on Chevron Layoffs

Once I had summarized the articles and identified key trends, I wanted to dive deeper into understanding the impact of layoffs at Chevron specifically. Using ChatGPT, I connected the dots to provide a broader overview of how these workforce changes affected the job market, economy, and worker sentiment over time. This analysis not only helped to contextualize Chevron’s layoffs but also allowed me to understand their broader impact on the company’s internal structure and the workforce’s perception of job security.

6. Keystroke Patterns and Identifying Multiple Posters

To further refine the data, I examined the keystroke patterns in the posts related to Chevron. By analyzing typing speed, punctuation, and recurring word choices, I was able to identify instances where the same person might have been posting multiple times but acting as if they were different individuals. This helped to clean up the data and ensure that the trends I was observing were based on authentic user input, not artificially inflated by multiple accounts run by a single person.

7. Estimated Locations Based on Keywords and Timing

I also used location estimation techniques to infer where posters were located based on the keywords in their posts, the time of day they posted, and mentions of Chevron’s global operations. By cross-referencing Chevron’s known locations worldwide and factoring in posting behavior, I estimated the general locations of the most active posters. For example, by looking for mentions of specific cities where Chevron has offices and production sites, and comparing that with posting times, I was able to identify users in different regions.

8. Gender-Based Posting Analysis

Another interesting layer of analysis was understanding gender differences in the posts related to Chevron. By using word pattern analysis, I determined that women were more frequent contributors to posts about layoffs at Chevron than men. Subtle differences in word choice, tone, and phrasing helped reveal this trend, showing that women seemed to be more active in discussing their experiences and the impact of Chevron layoffs.

9. Key Insights from the Analysis

Based on the combined analysis of keystroke patterns, location estimation, and word selection trends, here’s what I found:

• 280 individuals were consistently posting about Chevron layoffs, with another 600 individuals contributing sporadically over time.

• Women appeared to be the predominant contributors to posts related to Chevron layoffs, based on their word choice and style.

• The analysis also revealed the most frequent posters, including one woman in Kazakhstan, one in Houston, one in Canada, one in Midland and one in Venezuela. These individuals were among the most active in the discussion, posting regularly about their experiences with layoffs at Chevron. The analysis shows that the poster in Venezuela stopped about 1.5 years ago and Canada and Midland stopped posting about a month ago. The poster in Kazakhstan and Houston still regularly posting at an increased rate which could mean the posters that stopped in Venezuela, Canada and Midland could be posting out of Houston now. People just don't understand all of the metadata that can be pulled from their post.

10. Final Thoughts and Broader Implications

This level of detailed analysis not only gave me a clearer picture of the demographics of Chevron employees posting about layoffs but also helped identify important geographical trends and gender patterns in the conversation. By mapping out where users were posting from and how they were engaging with the topic, I was able to better understand the global impact of Chevron layoffs and the role that sentiment played across various regions. The insights drawn from this analysis shed light on the evolving nature of layoffs within Chevron, offering a deeper look at how employees reacted, adapted, and communicated during these challenging times.

RM gets a participation trophy for the most disliked. Talk about being wrong but w it’s passion on nearly every issue….

Your grammar is terrible. Did you graduate middle school?

OP, what AI toolset did you use?